MLOPS Engineer
Zenith Services Inc. · Concord, CA · 3 days ago
On-siteEngineeringFull-time
About the role
Tachyon Cortex Machine Learning AI team is seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.
Responsibilities
- Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
- Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
- Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
- Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability).
- Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs.
- Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment.
Requirements
- 10+ years of professional experience in Software Engineering & 3+ years in AI/ML, Machine Learning Model Operations.
- Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
- Experience with cloud platforms and containerization (Docker, Kubernetes).
- Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
- Solid understanding of software engineering principles and DevOps practices.
- Ability to communicate complex technical concepts to non-technical stakeholders.