ML Engineer
On-siteIndore, Madhya Pradesh, India
Job Summary
Lead the development and deployment of scalable machine learning solutions by building robust ML pipelines, integrating large language models, and managing model lifecycles with MLFlow. Scope and resolve technical issues related to ML infrastructure while writing clean, maintainable Python code for production workflows. Participate in Scrum ceremonies, conduct code reviews, and manage pull requests to ensure high-quality standards across the team. Collaborate with data scientists to deploy and monitor models, leveraging tools like Postgres, Amazon S3, and GitHub for version control. Join agile teams to drive impactful business strategies and deliver sustainable change in enterprise operations.
Required Qualifications
- seasoned ML Engineer (MLOps)
- deep expertise in building robust ML pipelines
- integrating large language models (LLMs)
- managing model lifecycle using tools like MLFlow
- Strong proficiency in Python for ML and MLOps tasks
- Experience with databases (especially Postgres)
- Familiarity with object storage systems like Amazon S3
- Hands-on experience with LLMs and their integration into production systems
- Proficient in using MLFlow Hub for model tracking and deployment
- Comfortable with GitHub workflows and version control
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