ML​/Ops Engineer

ML/OPS Engineer
About the Role:

Onshore Momentum, Inc. is seeking a Machine Learning Operations (ML/OPS) Engineer to join our team. This role is ideal for a skilled professional who thrives at the intersection of machine learning, software engineering, and Dev Ops
. You will be responsible for deploying, automating, and optimizing ML models while ensuring seamless integration with Azure and Azure Databricks Services for Data Science solutions
.

• Implement and optimize Azure and Azure Databricks Services for Data Science solutions.
• Develop and maintain ML pipelines for model training, validation, and deployment.
• Utilize Snowflake for data storage, transformation, and analysis.
• Deploy ML models while following CI/CD best practices for production-grade solutions.
• Implement and leverage data and model monitoring solutions to track performance and drift.
• Collaborate with data engineers, scientists, and Dev Ops teams to ensure smooth integration.
• Enhance scalability, reliability, and security of ML systems in production.

• 3+ years of experience in ML/OPS, Dev Ops, or MLOps engineering.
• Proven experience with Azure, Azure Databricks, and Snowflake.
• Strong expertise in Python, SQL, and CI/CD pipeline development.
• Demonstrated ability to deploy models and deliver production-grade ML solutions.
• Experience implementing data and model monitoring solutions.
• Strong skills in Project Management and cross-functional collaboration.
• Familiarity with containerization (Docker, Kubernetes) and cloud-based ML workflows.

• Work with cutting-edge ML and data science technologies.
• Flexible work environment (remote/hybrid options available).
• Be part of a team driving innovation across industries.