Note: The job is a remote job and is open to candidates in USA. Optomi is partnering with a leading retail company to seek a Machine Learning Engineer who will migrate AI and ML models from analytics into production IT environments. The role focuses on building scalable MLOps and data engineering pipelines, deploying and monitoring models, and collaborating with Data Science, Data Engineering, and Software Engineering teams.
Responsibilities
- Design, build, and maintain scalable MLOps pipelines for ML model development, deployment, and monitoring
- Develop CI/CD pipelines to automate model and application deployment across environments
- Build and manage data and ML workflows using tools such as Python, Airflow/Composer, Git, and cloud platforms
- Deploy and manage ML models using platforms such as Vertex AI or equivalent ML platforms
- Implement model monitoring, performance tracking, logging, alerting, and retraining workflows
- Work closely with Data Scientists, Data Engineers, and Software Engineers to productionize ML models
- Develop APIs and services to integrate ML models with downstream applications
- Ensure solutions are scalable, reliable, secure, and maintainable
- Troubleshoot production issues and optimize ML pipelines for performance and reliability
- Follow software engineering best practices including code reviews, testing, documentation, and version control
Skills
- Strong Python programming and software engineering skills
- Hands-on MLOps experience with production ML pipelines
- Experience building CI/CD pipelines and working with Git/GitHub
- Strong understanding of ML model lifecycle management, deployment, monitoring, and automation
- Experience with REST APIs/microservices and containerization such as Docker
- Ability to work effectively with Data Science and Data Engineering teams
- Experience with GCP, preferably Vertex AI, BigQuery, Cloud Storage, and Composer/Airflow
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