| Hi- Remote Job: MLOps Technical Lead at Remote, Remote, USA |
| Email: [email protected] |
| Position: MLOps Technical Lead Location: Remote Job Type: C2C Client: Turing JOB DETAILS Lead and hands on is Must . Customer facing capability FTE is preferred, CTC exception for real strong candidates Perspective of the role that customer is looking for Team will be of few outside and offshore developers. They need someone here who voices out strongly and comes with a strong data background. Who should have an opinion , Just not opinion but backed with data or experience. Someone who was command to be able to lead ,make comments , well sounded in fundamentals. Customer facing role. Understanding what the real requirements are of the end to end project, figuring out where the bottlenecks could be from a technical perspective. Must be hands on , roll up their sleeves to code. Best mind map is a Technical Lead rule effectively Job Description Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare Write efficient, maintainable, and scalable Python code tailored to specific business needs Build high-performance, multi-tenant deployment architectures, and sophisticated model monitoring systems Directly engage with internal stakeholders to incorporate feedback and refine the ML-driven products through quick iteration cycles Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices Job Requirements: Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience) At least 5+ years of relevant experience as an MLOps Engineer At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe Proficiency in data science tools such as Pandas, Notebooks, Numpy, and Scipy Demonstrable experience with both relational and non-relational databases Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred Comfortable with a Linux environment and stringent data security practices Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity Fluent in English communication, both written and spoken Thanks & Regards Rahul Pathak | Technical Recruiter Email: [email protected] | Desk: (609) 360-2672 Ampstek LLC Global IT Partner | www.ampstek.com -- Keywords: machine learning information technology Hi- Remote Job: MLOps Technical Lead [email protected] |
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| Thu May 30 23:49:00 UTC 2024 |