ML Ops Engineer

Machine Learning AI Team – ML Ops Engineer

Machine Learning AI team seeking an ML Ops Engineer to drive the full lifecycle of machine learning solutions.

• 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.

• 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, Tensor Flow, 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 Dev Ops practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions.