Fulltime Machine Learning Engineers openings in Columbus, Ohio on September 03, 2022

Machine Learning Engineer at CPS, Inc.

Location: Columbus

Here’s a Little Bit Of What They’re Looking For

Opportunity with a diversified, Tech-Led Trading Firm in Chicago looking to add a Machine Learning Engineer to their team. Close to the EL and Metra/Ogilvie, great benefits, perks, and office environment. This role includes developing Python based research tools, managing their internal MLOps Stack and identifying new trading opportunities.

Trading industry salary plus bonus

Won’t be beat from company culture/ work-life perspective

401K w match, Outstanding individual, and family benefits.

Can be fully REMOTE or Hybrid
• Strong Python. Additional libraries a plus(pandas/numpy/anaconda)
• Developing predictive models to maximize performance
• C++, Linux and Cloud infrastructure a plus
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Machine Learning Engineer at American Express

Location: Columbus

Description

Description

You Lead the Way. Weve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether were supporting our customers financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining whats possible and were proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.

Are you an experienced engineer ready to join Digital Labs Engineering team? Join us and be part of the team defining the next generation of servicing technologies, Natural Language Processing and Machine Learning capabilities, supporting new product development, Amex Ventures integrations and new company acquisition integration. You will build innovative industry leading solutions in a dynamic and innovative environment.

You will work closely with product and other teams to explore, experiment and build software using various cutting-edge technologies for digital labs. We are looking for strong candidates who can focus on the business problem and use the right technology to solve that. We are looking for candiates who can constantly learn and adapt to new technologies.

American Express is on an exciting digital transformation driven by an energetic team of high performers. This group is nimble and creative with the power to shape our Technology and Product roadmap. If you have the talent and desire to deliver innovative products and services at a rapid pace, serving our customers seamlessly across the globe through various channels, join our team

Responsibilities
• Drive innovation and build applications within a fast paced, agile environment.
• Perform all technical aspects of software development for assigned applications including design, hands-on engineering, developing framework & tooling including prototypes, and code review, mentor engineering peers and own and drive transformation with various technology domains.
• Leads the deployment, support, and monitoring of software across test, integration, and production environments.
• Explore new technologies and experiment by doing multiple Proof of Concepts on a problem domain
• Colloborate with product teams on new ideas and explore the feasibility
• Mentor and guide team members to success within the team.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

Qualifications

Minimum Qualifications:
• 3 years of software development experience and leading teams of engineers and leading scrum teams
• 2 years of experience with cloud-based software design, building MicroServices, and automated testing and deployment
• 2 years of experience in developing apps using Python programming language.
• 2 years of experience in developing models, deploying machine leanrning models in production
• Expertise in Deep Learning, Machine Learning, Natural Language processing
• Expertise in python data processing libraries like pandas, numpy
• Experience with Scrum, Kanban, or another Agile application development methodology.
• Knowledge on Big Data eco-system including tools such as Hadoop, HBase, Hive
• Knowledge on nosql and relational databases
• Knowledge CI/CD, system testing, test automation. Experience in infrastructure, application monitoring, platform stabilization and Investment performance a plus.
• Bachelors Degree in computer science, computer engineering, or related field required.

We back our colleagues with the support they need to thrive, professionally and personally. Thats why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

If the role you are applying for is designated as hybrid or onsite, you will be required to demonstrate that you have completed your primary COVID-19 vaccination series (i.e., 2 doses for Moderna/Pfizer and 1 dose for J&J) in order to work in or visit any of our offices. This requirement is subject to legally required accommodations.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

Job: Technology

Primary Location: United States

Schedule Full-time

Req ID: 22019389
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Senior AWS Software Engineer (ML Platform) – Remote at Vericast

Location: Columbus

Company Description

We are Vericast. We create meaningful connections between business and the people that they serve-how, when and where it matters. By pushing the boundaries of data and insights, we spark discovery and inspire action to create profitable results.

QuickPivot (a Division of Vericast) provides fast, powerful, easy to use software for smart marketers with big ideas, but small teams and tight budgets. We amplify the value of our software with our crew of artistic but analytical marketers who make short work out of the data, integration, strategy and production bottlenecks that hurt so many brands.

Winner of the most innovative marketing automation solution by the 2014 MITX What’s Next Awards, as well as the Silver and People’s Choice Stevie Award for Best New Product or Service of the Year in Software for Marketing or Public Relations, the new QuickPivot platform enables marketers, in any industry, to dynamically derive customer insight, listen to brand interactions and adapt campaigns to create seamless buying experiences.

QuickPivot is a registered trademark of QuickPivot Corporation. All other trademarks are the property of their respective owners.

Job Description

We are seeking a highly creative AWS Software Engineer focused on building a Scalable Machine Learning Platform who will be a key factor in driving Vericast’s technical strategy. If you’re passionate about creating scalable, high-performing code, and unafraid to roll up your sleeves and dive into the details, then this is the right fit for you. This role will work cross-functionally with engineering, product, and IT stakeholders in an agile framework.

Key Duties/Responsibilities
• Implement highly scalable distributed systems in a cloud environment
• Review existing codebase for enhancement and optimization
• Tune existing PySpark Jobs and processes
• Evaluate and make decisions around the use of new or existing technologies and tools
• Design, build and own data pipelines to power Machine Learning Models
• Create and maintain scalable deployment pipelines along with test case automation
• Develop infrastructure-as-code for various application components using AWS Cloud Formation or Terraform
• Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation
• Maintain & Manage release versions of the Machine Learning Platform
• Partner with DevOps to Maintain various development/test/production AWS environments
• Take part in all scrum events
• Mentor Junior Team Members around Software Development Best Practices
Qualifications
• 5+ years of experience with AWS
• 5+ years of software development experience using Python and React.js
• 3+ year of experience in tuning Spark (PySpark or Sclala) Jobs
• 3+ years of experience with AWS CloudFormation or Terraform
• 3+ years in AWS services: Lambdas, Step functions, AWS Batch, S3, and EC2/ECS
• 2+ years of experience in Deploying React.js code using AWS Amplify
• Some Experience with Machine Learning Workflow is a big bonus
EDUCATION
• Bachelor’s degree in Computer Science or equivalent technical field
Knowledge/Skills/Abilities
• Strong understanding of Machine Learning Workflow Management
• Ability to adapt to a fast-paced start-up like team
• Solid understanding of Software Delivery Lifecycle Process optimization
• Ability to define software development best practices within the team
• Ability to learn/use a wide variety of open-source technologies and tools
• Active listener
Additional Information

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K matching and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

At Vericast, we don’t just accept differences – we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@ or 616-541-3145.
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Machine Learning DevOps Infrastructure Engineer at Crowe

Location: Columbus

Your Journey at Crowe Starts Here:

At Crowe, you have the opportunity to deliver innovative solutions to today’s complex business issues. Crowe’s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a “Best Place to Work.” We are 75 years strong and still growing. Come grow with us

Job Description:
At Crowe, you have the opportunity to deliver innovative solutions to today’s complex business issues. Crowe’s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a “Best Place to Work.” We are 75 years strong and still growing. Come grow with us

About Crowe Data Science

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered software-as-a-service.

Our world-class Data Science professionals give Crowe the ability to capture and harness the power of data. A combination of data scientists and machine learning engineers create and deploy AI functionality into software to solve complex problems. This type of group, rarely seen anywhere except large tech companies, focuses on building scalable AI products, not just one-time insights. You will learn and build on a wide range of technologies – distinguishing Crowe in the market and driving the firm’s technology and innovation strategy.

The future is powered by AI, come build it with us

About the Team

We believe machine learning is software. While our Data Scientists experiment in Jupyter notebooks, they are not the end of our machine learning pipelines. Our team uses modern frameworks and tools (git, Docker, Kubernetes) to engineer machine learning solutions.
We foster great Software Engineering. You are given the time and resources you need to shepherd software best practices in your project, and you will guide fellow machine learning engineers, data scientists and other Crowe staff through your work.

We want to make good engineers better. Engineers have plenty of options on the job market. We want to be one of the best ones. We have regular opportunities for team members to teach each other, support for conferences, and recurring reading groups. Moreover, our team offers generous PTO, a flexible work from home policy, and a strong commitment to work-life balance. Company-wide, Crowe routinely wins awards for our support of our staff, including our Fortune 100 Best Companies to Work for in 2019.

About the Role

We work on medium-term machine learning projects (4-8 months) with a high degree of autonomy. We are not external facing. We harness the subject matter expertise of other Crowe teams to build machine learning products. We architect and build complex distributed computing systems utilizing High Performance Computing (HPC) computing resources on-premise and in the cloud. We design and implement efficient and scalable machine learning systems from data collection and training to deployment and real-time serving using Python. We write and review code for productionizing machine learning models from the RESTful API specification to deployment automation.
• Docker practitioner. Demonstrable familiarity with containerized orchestration and virtualization frameworks. Experience with a Kubernetes package manager such as Helm a plus.
• Linux experience. Configuring and troubleshooting Linux-based systems. You will be performing daily work with a Linux laptop.
• Continuous Integration and Deployment. Implementing multi-stage CI/CD pipelines preferably in GitLab with automated deployments.
• Cloud Computing familiarity. Experience with at least one Cloud Computing platform, experience with Microsoft Azure a plus.
• Distributed Systems Know-How. Designing, deploying, and troubleshooting distributed systems
• Networking chops. Strong networking knowledge (OSI network layers, working with proxies, API management)
• Interface Savvy. Creating and interacting with RESTful HTTPS API’s, websockets, and webhooks
• Programming experience. Your job will require you to code – we write Python and Go, so experience in these languages is preferred. Python web framework experience is a plus.
• DevOps experience. You enjoy DevOps. You’ve had some experience monitoring and maintaining mission critical systems and services with uptime requirements.

Preferred Skills
• Scrappiness. You like to code and have interest in learning new technologies without significant outside direction. You aren’t afraid to take a stab at firing up a proof-of-concept of an experimental piece of technology before it becomes widely used and documented. Using Docker and Kubernetes as regular parts of your workflow sounds exciting.
• Lifelong Engineering. You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.
• Strong communication skills. You can both dive deep in DevOps, software engineering and infrastructure related topics and explain concepts to a non-technical audience.
• Capacity for autonomy. You won’t have to hit the ground running on day one, but you will have to manage your time between staying on the cutting edge, debugging issues with existing deployments and current sprint deliverables.

About the Team

We believe machine learning is software. While our Data Scientists experiment in Jupyter notebooks, they are not the end of our machine learning pipelines. Our team uses modern frameworks and tools (git, Docker, Kubernetes) to engineer machine learning solutions.

We foster great Software Engineering. You are given the time and resources you need to shepherd software best practices in your project, and you will guide fellow machine learning engineers, data scientists and other Crowe staff through your work.

We want to make good engineers better. Engineers have plenty of options on the job market. We want to be one of the best ones. We have regular opportunities for team members to teach each other, support for conferences, and recurring reading groups. Moreover, our team offers generous PTO, a flexible work from home policy, and a strong commitment to work-life balance. Company-wide, Crowe routinely wins awards for our support of our staff, including our Fortune 100 Best Companies to Work for in 2019.

#Indeed

#LI-remote

Our Benefits:

At Crowe, we know that great peopleare what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you

How You Can Grow:

We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper

More about Crowe:

Crowe ) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country’s best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Applied AI ML Associate Sr – CCB RISK MODELING at JPMorgan Chase And Co

Location: Columbus

• Job Description Working for one of the largest banks, card issuers, and payments processors in the US, you’ll be fighting crime and protecting consumers and small businesses from financial fraud, including credit/debit card transactional fraud, account takeovers and identity theft, with mathematical modeling.
• In this role, you’ll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products.
• This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions.
• Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.
• You’ll work in an industrial R&D/skunkworks environment, exploring cutting edge ML/AI techniques and developing innovative predictive models on a dataset in the hundreds of TBs and higher.
• As there are no known model architectures that are effective on fraud datasets in general, you’ll need to develop them.
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Data Scientist/Senior Machine Learning at Nexient

Location: Columbus

Data Scientist/Senior Machine Learning Columbus, OH / Delivery Practice – AI/ML/Data Engineering / Full-time Apply for this job About your future team Nexient is on a mission: To rid the world of crappy software, one sprint at a time. Every day, our 1000+ Agile developers, designers, and strategists empower each other to find passion in our work while we innovate the world. This culture of teamwork and curiosity is fueled by a product-minded approach to our work, crafting extraordinary custom software solutions and growing careers along the way. Our clients range from some of America’s favorite brands in retail, healthcare, financial services to fast-emerging disruptors – You might have read about us in the NY Times. We’re also recognized as a Gartner Cool Vendor, HFS Hot Vendor, and America’s leading 100% U.S. Agile software services partner. If you’re looking to change the trajectory of your career, make an impact on Day One, develop custom software on the best technology around – and maybe even make people’s lives easier — then you belong here, with us. Required Skills and Experience:
• Solid understanding of machine learning fundamentals
• Optimization (gradient decent variants, hyperparameter tuning, regularization)
• Experience in a variety of problems and domains, with depth in at least four (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.)
• Expert with traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.)
• Mastery of Deep Learning fundamentals (CNN, RNN, attention/memory, Autoregressive) and extensions (Transformer, LSTM, ResNet, etc.)
• Experience coding with popular frameworks
• Python expertise (data structures, coding patterns) along with common ML, data, math and visualization libraries/platforms
• Can architect large scale machine learning projects, while supporting team and client related activities (documentation, mentoring, planning, etc.)
• Ability to set best practices for modeling/development
• Configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD)
• Loading and saving large data sets and models efficiently
• Customizing models and optimizing performance
• Structuring code to make it modular and deployable (logging and metrics, adhering to common deployment interfaces/hooks)
• Ability to analyze and explain papers/theory and adapt associated models
• NLP specialization (NLU, NLI, QA, BERT, GPT, T5, XLNet, etc.)
• Some MLOps and cloud environment experience (resource configuration, optimization)
• Solid data engineering skills (large scale data processing in batch or stream, security and configuration best practices)
Why Nexient As a vital member of our Engineering Practice, you will be part of one of our 100+ small cross-functional teams working side by side with some of the most talented developers, UX designers, analysts, quality engineers, and product managers out there. From Silicon Valley to Ann Arbor, Columbus, and beyond – a career with Nexient will offer you: Remote, hybrid, or onsite opportunities: Here, you decide the work arrangement that best suits your needs and preferences. Fulfilling and challenging projects: You will be exposed to different scenarios, multiple types of clients, and the most complex business and technology initiatives. Access to the most cutting-edge technologies: You’re always going to be advancing your skillset by learning and working with the newest and most relevant technologies available out there. A positive and passionate culture: Boring and divided aren’t in our vocabulary. In fact, it’s amazing to see how, despite our exponential growth, the Nexient culture and community stay as warm, diverse, and close as ever. Plenty of opportunities for you to explore and grow: We will empower you to dream as big as you want and support you to make your career what YOU want it to be. Creative runway: We take pride in encouraging our people to question the status quo. Our benefits program includes: · Medical, dental, and vision coverage · Generous PTO, plus holidays · 401(k) plan · Life insurance and short-term & long-term disability · Maternity leave · Employee Assistance Program · Flexible spending accounts · Health savings account Nexient is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Apply for this job
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Visiting Researcher, Artificial Intelligence (Ego4D) at Meta

Location: Columbus

• Meta is seeking Visiting Researchers through a short term contract to join Facebook AI Research (FAIR).
• We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world.
• We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, computational cognitive (neuro)science, and applied mathematics.
• This position will support our Ego-Exo project, where we need extra energy on Ego-Exo benchmarks, taxonomy formation, and annotation along with general support around efforts to keep our existing dataset accessible and active.
• These efforts would be complementary to the student’s PhD work and hopefully lead to a joint publication.
• This position would also be a fixed term for PhD students who will work in collaboration with their university.
• This role will be part-time during the school year.
• Applicants are expected to be pursuing a PhD in one of the areas listed above.
• Perform research to advance the science and technology of intelligent systems.
• Perform research that improves computational understanding and representing of data.
• Devise data-driven models of human behavior.
• Influence progress of relevant research communities by producing publications.
• Collaborate and increase productivity on existing research projects.
• Implement camera relocalization in 3D scans and ego-video.
• Develop tools and facilitate annotations for recognition and transfer benchmarks for Ego4D dataset.
• Work on Dataset accessibility efforts, including mini-sets, feature pre-computation, baseline and visualization.
• Currently has, or is in the process of obtaining, a PhD degree in a technical field such as Computer Science or Applied Mathematics.
• Knowledge in Machine Learning.
• Knowledge in a programming language.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience building systems based on machine learning and/or deep learning methods.
• Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.
• Knowledge in Python, Lua, C
• C, C# and/or Java.
• Facebook is proud to be an Equal Opportunity and Affirmative Action employer.
• We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
• We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
• Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
• If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Systems Engineer Sr Advisor at General Dynamics Information Technology

Location: Columbus

• Seize your opportunity to make a personal impact as a Senior Systems Engineer supporting Veterans Health Administration (VHA).
• GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.
• The successful candidate will serve as one of the engineering leads a VHA contract with responsibility for its technical healthcare innovative outcomes, and customer satisfaction.
• Today, wearable technologies, big data, machine learning and artificial intelligence, 3-D printing, and telehealth capabilities are driving significant and growing segments within the healthcare market.
• The candidate will have deep knowledge of healthcare innovation and automation with an emphasis on emerging technologies and agile software development.
• The Senior Systems Engineer will work closely with VHA stakeholders to implement VHA’s 5 major innovation task categories or “growth areas” in which ongoing efforts are focused on innovation in: (1) Personalized Care; (2) Data Transformation; (3) Digital Care; (4) Immersive Technology; and (5) Care and Service Delivery Models to produce definitive outcomes for Veterans health solutions.
• At GDIT, people are our differentiator.
• You will help ensure today is safe and tomorrow is smarter.
• This position requires knowledge of the operations of the Department of Veteran Affairs and its Administrations as well as healthcare operations and the support Veterans receive from this Federal Agency.
• In addition, the candidate will be expected to lead the evolving design, development, testing of new products/services and accompanying care and service models in a real-world setting VHA, ensuring they create meaningful value toward future solutions for VHA clinicians, administrators, and Veterans.
• The candidate will be expected to leverage their knowledge of emerging healthcare technologies and future VHA needs to develop and prototype solutions using the latest agile methodologies.
• Leads technological approaches to support the program desired outcomes in designing, developing, and testing/evaluating prototype solutions that influence future healthcare decisions and capabilities.
• + Leads Design Thinking and Human Centered Design concepts in the VHA model to discover, test, replicate and scale innovation across the organization
• + Performs engineering work associated with the analytical, statistical, and programming skills to collect, analyze, and develop solutions to difficult clinical challenges
• + Lead agile and DEVOPS models for software prototyping
• + Monitor requirements, technical accomplishments and performance data used to track program metrics
• + Utilize professional judgement, critical thinking skills and research to improve program processes and resolve issues affecting program performance
• + Supports action item management and definition of program risks related to fulfilling tasks and objectives
• Bachelor’s Degree in business related field, engineering, or a related scientific or technical discipline with at least 10+ years of experience
• + Must have 5+ years of experience in supporting digital transformation and process improvement in health care solutions and innovations.
• + Experience in leading agile teams and applying modelling/simulation in all phases of the system lifecycle.
• + Experience with software and security architecture modeling, tools and solutions.
• + Must demonstrate the ability utilize critical thinking skills to resolve challenging issues related to fulfilling Veteran healthcare challenges.
• + Good team player, able to manage multiple assignments, and adapt to changing client needs
• + Outstanding written and verbal communication skills with the ability to present business leaders
• + Must be able to obtain a Position of Trust and successfully pass a thorough Government background screening process and fingerprinting
• Experience supporting program desired outcomes in building, improving, and using data science solutions including the utilization of known results to make future decisions (i.e., Artificial Intelligence (AI), Robotic Processing Automation (RPA
• Experience in working with ML frameworks/libraries/packages: designing and developing Machine Learning solutions according to client requirements.
• + Experience with applied research techniques, data analysis, ideation, prototyping and evaluation of the solutions in the context of health care delivery
• + Knowledge of immersive technology, including Virtual Reality and tools, IoT and sensors to connect the physical world to the virtual world
• + Programming skills: MySQL, Python, LINUX, C/C
• + Active VA access including assigned CAG and PIV
• 401K with company match
• + Customizable health benefits packages
• + Collaborative teams of highly motivated critical thinkers and innovators
• + Internal mobility team dedicated to helping you own your career
• + Rewards program for high-performing employees
• Not sure this job’s the one for you?
• Check out our other openings at gdit.com/careers.
• COVID-19 Vaccination: GDIT does not have a vaccination mandate applicable to all employees.
• Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.
• We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country.
• Bringing the expertise needed to understand and advance critical missions.
• Shifting the ways clients invest in, integrate, and innovate technology solutions.
• We ensure today is safe and tomorrow is smarter.
• On the ground, beside our clients, in the lab, and everywhere in between.
• Offering the technology transformations, strategy, and mission services needed to get the job done.
• GDIT is an Equal Opportunity/Affirmative Action employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
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Digital Design and AMS Verification Engineer at Meta

Location: Columbus

Summary:

Our silicon team is pushing the state-of-the-art with breakthrough work in computer vision, machine learning, mixed reality, graphics, power delivery, interconnect, displays, sensors, and new ways to map the human body. We work across the entire stack of system design, from transistors, architectures, firmware, and algorithms. Our chips will enable AR and VR devices to mix and match the real and virtual worlds throughout the day. As a Digital Design and Analog Mixed Signal Verification Engineer at Meta, you will work with a world-class group of engineers creating high-performance and low-power custom designs for our AR/VR chips. Special focus areas will include breakthrough displays, sensors, interconnects and power. Your work will include chip-level digital uArchitecture definition of analog mixed signal chips, RTL design, collaborating with AMS designers and system engineers to ensure full verification coverage. We value excellent communication skills and strong cross-functional teamwork.

Required Skills:

Digital Design and AMS Verification Engineer Responsibilities:
• Create high-performance and area/power efficient custom designs for Meta’s leading-edge AR chips
• Shape design and verification methodology and flows to improve execution quality and efficiency
• Translate product concept and design requirements into uArchitecture documents and RTL design, while conducting power, area and performance tradeoffs
• Work with external vendors as well as internal design teams for all phases of silicon development
• Closely collaborate with analog mixed signal designers to create behavioral models for analog blocks
• Closely collaborate with analog mixed signal designers, system engineers, SoC architects, test engineers to deliver high quality uArchitecture
• Design and verify RTL code in a mixed signal chip
• Develop and review test plans, test benches and verification methodologies to validate analog circuit behavior along with digital components at chip level
• Third party IP evaluation and integration
• Developing scripts as necessary to improve productivity and reliability
• Travel both domestically and internationally up to 10% of the time

Minimum Qualifications:

Minimum Qualifications:
• B.S. in EE, ECE, or related field or equivalent experience
• 4+ years of experience in digital micro-architecture, design, verification, and synthesis
• Proven track record of mass production ICs
• Experience communicating clearly and working effectively in a collaborative team
• Experience with design and verification best practices

Preferred Qualifications:

Preferred Qualifications:
• 10+ years of experience in digital micro-architecture, design, verification, and synthesis
• Proven track record of project and team leadership
• 10+ years of experience in behavioral modeling and AMS/DMS verification for analog mixed signal chips and IPs
• 10+ years of experience in chip-level micro-architecture for analog mixed signal chips and IPs
• Experience in UVM and utilizing analog behavioral models in UVM environment

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at ~~~.
Apply Here
For Remote Digital Design and AMS Verification Engineer roles, visit Remote Digital Design and AMS Verification Engineer Roles

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HVAC Mobile Engineer at Jones Lang LaSalle IP, Inc

Location: Columbus

• About JLL -We’re JLL-a leading professional services and investment management firm specializing in real estate.
• We have operations in over 80 countries and a workforce of over 98,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions.
• As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility.
• That’s why we’re committed to our purpose to shape the future of real estate for a better world.
• We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities.
• Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
• Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future.
• And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
• If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below.
• We’re interested in getting to know you and what you bring to the table!
• Are you an HVAC expert looking for the next step in your career?
• JLL has an immediate need for an HVAC Mobile Engineer in the Cincinnati, OH area.
• Apply today and join our dedicated team of Engineers!
• In this role, you will operate, inspect, and maintain all mechanical, electrical, plumbing, and production equipment and systems, with a strong focus on HVAC systems.
• Please note, that individuals are expected to demonstrate technical expertise in HVAC and be multi-skilled in electrical, HVAC, Piping/Plumbing, Material Handling Equipment, and others in order to successfully complete daily/weekly work assignments.
• Here is some of what you will be doing:MaintenancePerformance of ongoing preventive and repair response work orders on facility mechanical, electrical, and other installed systems, equipment, and other components.
• Maintain, operate, and repair all HVAC systems and associated equipment, electrical distribution equipment, plumbing systems, building interior/exterior repair, and related grounds, and production equipment as it pertains to assigned buildings.
• Study and become familiar with the various items of equipment, and the methods required to use them properly, that are required in everyday activities.
• Perform assigned facility inspections and due diligence efforts, reporting on as-found conditions impacting satisfactory client occupancy and operations.
• SafetyComplete Hazard Assessments as necessaryComply with all safety procedures, maintaining good housekeeping and safety of work areas.
• Recognize danger and safety hazards and propose methods to eliminate them.
• Maintain compliance with State, County, or City Ordinances, Codes, or Laws. Must complete all required safety training as scheduledPractice Defensive Driving at all timesAdministrativeSubmit P-card Receipts DailyUpdate work order status in real-timeUtilize CMMS systems such as Corrigo for all work performed.
• Perform Vehicle Safety InspectionEscalating problems or issues to Customers and Management in a timely mannerAttend work and safety meetings as requiredWho should apply?
• weight limit while carrying a tool bag weighing approximately 20 lbs.
• Driving for long periods of time.
• Working in adverse conditions (i.e., extremely cold, extreme hot).
• Frequently climbing, bending, lifting, kneeling, stooping, and working/extending overhead.
• Schedule: Monday – Friday 8:00 a.m. – 5:00 p.m. with occasional overtime.
• Our underlying benefits philosophy is this: be fair to our people, and provide opportunities for those who take advantage of our programs and resources to lower their health costs and increase their personal and financial security.
• Benefits to eligible employees, include: 401(k) plan with matching company contributionsMedical, Dental & Vision Care6 weeks of paid parental leave at 100% of salaryPaid Time Off and Company HolidaysFlexible Work Arrangements may be availableExecutive BenefitsWhat you can expect from us We succeed together and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
• Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.
• We can’t wait to see where your ambitions take you at JLL. Apply today!
• JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services.
• We take our responsibility to protect the personal information provided to us seriously.
• Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process.
• We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons.
• We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy here.
• If required, you’ll be asked to provide proof that you’re fully vaccinated upon your start date.
• You’re considered fully vaccinated two weeks after you receive the second dose of a two-dose vaccine series (e.g., Pfizer or Moderna) or two weeks after a single-dose vaccine (e.g., Johnson & Johnson/Janssen).
• Failure to provide proof of vaccination may result in termination.
• Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.
• If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may contact us at Accommodation Requests.
• This email is only to request an accommodation.
Apply Here
For Remote HVAC Mobile Engineer roles, visit Remote HVAC Mobile Engineer Roles

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