AI and ML Ops Engineer

Job Summary

Seeking a senior-level AI and ML Ops Engineer, the full-time position will design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines while collaborating with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready and performant across cloud platforms.

Key responsibilities:

• Design and operate end-to-end machine learning and AI pipelines for various use cases
• Automate the full machine learning lifecycle, including data ingestion, training, and deployment
• Establish monitoring frameworks and implement CI/CD pipelines for machine learning systems

Required qualifications:

• 5+ years of experience in machine learning or AI engineering, Data Science, or Analytics Engineering
• Bachelor's degree in Computer Science, Data Engineering, or a related field
• Deep experience with machine learning pipeline development and lifecycle automation
• Strong proficiency in Python and PySpark
• Experience with cloud platforms such as Databricks, AWS, GCP, or Azure