Dice is the leading career destination for tech experts at every stage of their careers. Our client, MphasiS Corporation USA, is seeking the following. Apply via Dice today! **Overview** Tachyon Predictive AI 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 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 **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.