Senior MLOps Engineer
Harnham - new york city, NY
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Senior MLOps EngineerFully Remote6-Month Contract to Hire$80-$100hrAre you looking to advance your MLOps career in an innovative and AI driven healthcare company? Apply below!THE COMPANYWe are currently partnered with one of the largest healthcare systems in the U.S. - they are disrupting the healthcare field by innovating and advancing MLAI through their systems to directly impact patients and hospitals.THE ROLEResponsible for design and development of production grade Machine Learning solutions. Help set ML engineering standards (development stack, sample starter projects, etc.)Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in ML platform and development ecosystemOptimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologiesCollaborate with infrastructure teams to ensure smooth integration and deployment of ML solutionsStreamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latencyEvaluate and optimize model prototypes for real-world performanceYOUR SKILLS AND EXPERIENCEA successful MLOps Engineer within this role will likely have the following skills and experience:Bachelor's degree in Business Administration, Computer Science, Data Systems or Data Engineering preferred5+ years of experience in Lead Software Engineering position with at least 3-years hands on with implementing AIML solutions.Expert in Python, including some experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or KerasDemonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring.Expertise in Relational Databases, MySQL, In-Memory databases, NoSQL databases, AWS is a significant plus. Understanding of containerization (Docker & Linux experience).Understanding of GPU acceleration techniquesHOW TO APPLYPlease register your interest by sending your resume via the Apply link on this page.
Created: 2024-10-27