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Senior MLOps Engineer (Python/Transformers/NLP)

5-8 years

Remote

1 vacancy

Senior MLOps Engineer (Python/Transformers/NLP)

Turing

posted 3mon ago

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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