Senior Engineer - Machine Learning Operations

Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment. Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability.

Requirements

• Bachelor's degree in computer science or equivalent.
• A minimum of 4 years' experience in software engineering or machine learning engineering is preferred.
• Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
• Proficiency in ML operationalization and orchestration (MLOps) tools, techniques and platforms.
• Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization.
• Good understanding of ML frameworks such as TensorFlow, Keras, PyTorch.
• Experience in web development skills such as HTML, Javascript, CSS is a big plus.
• Knowledge of AWS cloud platform would be an advantage.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance