Job Description
We are seeking a skilled Data Engineer / MLOps Engineer to drive automation in model lifecycle management, data pipeline processing, and infrastructure optimization. This role is critical in automating the development, deployment, and maintenance of machine learning models in a production environment, as well as supporting rapid research initiatives through automated feature engineering.
Responsibilities
- Design, develop, and maintain automated ML pipelines for model training, validation, deployment, and monitoring.
- Automate database pipelines for both production and research environments, ensuring efficient data availability and transformation.
- Develop scalable data infrastructure to support model experimentation and production use cases.
- Optimize and manage feature databases for rolling feature creation, enhancing rapid experimentation.
- Collaborate with Data Science and Engineering team members to align MLOps strategies with business goals.
- Maintain version control and lineage tracking for ML models and datasets.
- Automate and apply version control to manage the analysis and delivery of data used for customer on-boarding.
- Enhance observability and monitoring of data pipelines and ML models in production.
- Ensure compliance with security and governance policies in all automated workflows.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or related field.
- Experience with multiple programming languages. We’re using Julia, Elixir, and Python.
- Hands-on experience with cloud platforms lille (AWS and Snowflake).
- Experience with CI/CD for ML models, using tools such as GitHub Actions
- Knowledge of database management (SQL) and query optimization.
- Familiarity with model monitoring, logging, and performance tuning.
- Understanding of infrastructure as code (IaC) using Terraform
Benefits
We offer excellent benefits, including health insurance, 401k, and more. If you are a highly motivated self-starter with a passion for healthcare and technology and are looking to join a growing company dedicated to making a positive impact in the world, please submit your resume and a cover letter for consideration to careers@calmwave.ai.