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Senior MLOps Engineer (Python/Transformers/NLP)
Turing
posted 23d ago
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Flexible timing
Key skills for the job
Job Description
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:
- Bachelor s/Master s 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, WB, 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
Employment Type: Full Time, Permanent
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Flexible timing
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Night Shift
Turing Benefits
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