Machine Learning Engineer Contract

Job Title: ML Engineer

Location: Remote

Duration: Full Time

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
• 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
• Bachelor’s/Master’s degree in Engineering, Computer Science

Required Skills:

• Natural Language Processing NLP
• Tensorflow OR PyTorch
• Pandas OR Scipy OR Numpy