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Title: Senior ML Ops Engineer
Duration: Long Term
Location: Concord, CA
Overview
Tachyon Predictive Al team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.
Key Responsibilities
Title: Senior ML Ops Engineer
Duration: Long Term
Location: Concord, CA
Overview
Tachyon Predictive Al team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.
Key Responsibilities
- Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex Al.
- Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, 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
- Collaborate with engineering teams to provision containerized environments and support model scoring via low-la
- Leverage AutoML tools (e.g., Vertex Al AutoML, H2O Driverless Al) for low-code/no-code model development, doc
- 10 Years of professional experience in Software Engineering & 3 Years in AIML, Machine Learning Model Operation
- 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.