| Urgent Hiring:: ML Engineer :: Remote :: C2C Role at Remote, Remote, USA |
| Email: [email protected] |
| From: Sanjay, Micasaglobal [email protected] Reply to: [email protected] Hi, Role:: ML Engineer Location : Remote and EST time zone C2C Will work minimum exp:: 8+ yrs. Required Skills: Natural Language Processing (NLP) 3 YOE TensorFlow OR Py Torch 1 YOE Pandas OR SciPy OR NumPy 1 YOE Strong in python development Job Responsibilities: 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 Keywords: machine learning Urgent Hiring:: ML Engineer :: Remote :: C2C Role [email protected] |
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| Thu May 23 20:31:00 UTC 2024 |