MLOps Engineer Openings Onsite

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Vbeyond Corporation, is seeking the following. Apply via Dice today! Job Title: ML Ops Engineer Duration: Contract Role Location: Charlotte NC 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. Best Regards, Yogesh Bisht Recruitment Lead VBeyond Corporation | Note VBeyond is fully committed to Diversity and Equal Employment Opportunity. Disclaimer: If you prefer not to receive emails from me, simply reply with "Unsubscribe" in the subject line.