MLOps Engineer with Data Science :: Concord, CA / Phoenix, AZ :: Contract (need Locals)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Galent, is seeking the following. Apply via Dice today! Title: MLOps Engineer with Data Science (need locals) Location: Concord, CA / Phoenix, AZ (Day 1 onsite) Description: 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., Google Cloud Platform, 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. Appreciate if you could let me know of any of your friends or colleagues who might be interested in the above-mentioned role at your earliest possible. Please feel free to email me should you need any further information.