Dice is the leading career destination for tech experts at every stage of their careers. Our client, OMG Technologies, is seeking the following. Apply via Dice today! ML Ops Engineer (Concord, CA - 100% Onsite) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the multinational technology services Industry. This is a contracting role, 100% onsite in Concord, California. 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, 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. Required Qualifications: - 10+ Years of professional experience in Software Engineering. - 3+ Years in AIML, and 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). - Hands-on experience delivering 3-4 end-to-end Production projects. - Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. - Solid understanding of software engineering principles and DevOps practices. - Good communication skills and able to manage stakeholders. Other Job Details: - Location: Concord, California (100% Onsite). - Job Type: C2C or W2. - Pay Rate: $55/hr. on W2 OR $60/hr. on C2C. - Docs required: ID proof will be required.