Senior Machine Learning Operations Engineer
Location: Permanent Remote
Contract Duration: 6 Months
Job Description :
As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services. This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous vetting processes to maintain the highest standards of data integrity and security.
Key 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 our 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 our 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.
Requirements :
- Minimum 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, Scipy.
- 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.
