Role: Senior MLOps Engineer

Remote (EST Time Zone)

Job Type: Full-Time

Required Skills:

  • Natural Language Processing (NLP) - 3 Years of Experience
  • TensorFlow OR PyTorch - 1 Year of Experience
  • Pandas OR SciPy OR NumPy - 1 Year of Experience

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, 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.

Senior MLOps Engineer (Full-Time)

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