Machine Learning Engineer Salary in New Mexico

Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours. At GDIT, people are our differentiator. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO. HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key

Imagry is seeking an experienced Machine\Deep Learning Engineer 4-5 years of experience in the Industry. On-Site in San Jose California! The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities: Designing, training, and optimizing novel computer vision algorithms. Taking an End-to End responsibility over medium to long-term projects Seeing projects through from research to deployment Devising and implementing performance metrics Supervising complex data pipelines, from the collection stage, through annotation, to training models Communicating, presenting and visualizing results Aligning the algorithms with the product needs

100% Remote position Our client, a Global Giant in Video Game Publishing and Distribution, is looking to engage a Senior ML Engineer (MLOps) with demonstrated professional experience operationalizing ML models built leveraging Databricks, to join a team that supports a variety of business-critical data-driven initiatives. In this role, you will be helping to support decisions that will contribute to the Company’s outstanding growth and market leadership. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Responsibilities: Hands-on experience operationalizing ML models that have been created by a Data Science team Professional experience leveraging MLFlow within MLOps is HIGHLY desired Working with Data scientists, design, develop and maintain pipelines that support the deployment of ML models and algorithms, monitors data drift an

About Ascendion: · Ascendion is a full-service digital engineering solutions company. · We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. · Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. · Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. · Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: · Build the coolest tech for world’s leading brands · Solve complex problems – and learn new skills · Experience the power of transforming digital engineering for Fortune 500 clients · Master your craft with leading training programs and hands-on experience Experience a community of change makers! · Join a culture of h

Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly. Machine Learning Engineer : - The hiring manager is NOT looking for a Data Scientist ! - ML Engineer will join Data Science Innovation (DSI) team and work on developing and implementing universal forecasting models, focusing on ML forecasting techniques using Python and Hadoop. - DSI application is a unique, ML-driven platform that incorporates over 100 financial metrics to create a Universal Forecasting Model. The application features a Marketplace concept UI with Subscriber/Contributor functionality for enhanced personalization and extensibility across the enterprise. - Collaborate with Data Scientists in an Agile SDLC environment to bring ML models into production - The ideal candidate ( MLOps ) w

Seasoned Machine Learning Engineer with an Active Secret Clearance and looking for a new role? We have the one for you! Are you a seasoned Machine Learning Engineer who wants to truly make an impact with the work they do? Maybe you're looking to escape a stagnant working environment, or you're looking to progress and continue to grow within your career working with cutting-edge tech. If that's you, look no further. I am working with a top organization seeking an experienced ML Engineer to join them. As the ideal candidate, you will be seasoned in all things Machine Learning and hold an active Secret Clearance. This is an excellent opportunity to be in a constant learning environment, with lucrative base salary, benefits, & bonus also on offer. As the successful candidate, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. As the successful candidate, you will: Man