Job ID: JOB_ID_5119
About the Role:
Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. This is a C2C role requiring local candidates only for an onsite position in San Ramon, CA. The hiring team consists of experienced professionals from top tech companies like Meta, Google, and Netflix, looking for strong, hands-on experience in MLOps and Python. While knowledge of AI/ML is beneficial, it is not the primary skill requirement.
Key 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.
Qualifications:
- 10+ years of professional experience in Software Engineering & 3+ years in AIML, 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.
Special Requirements
Need locals only. No relocation. C2C role. Onsite.
Compensation & Location
Salary: $65 – $65 per year
Location: San Ramon, CA
Recruiter / Company – Contact Information
Email: esh.s@precisiontechcorp.com
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