ML Engineer

Aligned Automation Services; Pune District; On-site; INR 167,400 - 279,000; Full time

Job summary

A technology firm located in India is seeking a seasoned ML Engineer (MLOps) to drive the development and deployment of scalable machine learning solutions. The ideal candidate should have strong proficiency in Python, experience with MLFlow for model tracking, and familiarity with integrating large language models (LLMs). Responsibilities include managing model lifecycle, collaborating with teams, and maintaining high code quality. This is a full-time position offering a dynamic work environment.

Qualifications

• Strong proficiency in Python for ML and MLOps tasks.
• Experience with databases (especially Postgres).
• Hands-on experience with LLMs and their integration into production systems.

Responsibilities

• Participate in Scrum ceremonies and contribute to sprint planning.
• Scope and resolve technical issues related to ML pipelines.
• Write and implement clean, scalable, and maintainable code for ML workflows.

Skills

Python

MLFlow

Postgres

LLMs

GitHub workflows

Job description

Aligned Automation Services Pvt Ltd | Full time

We are looking for a seasoned ML Engineer (MLOps) to join our team and drive the development and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in building robust ML pipelines, integrating large language models (LLMs), and managing model lifecycle using tools like MLFlow. You will work in agile teams, contributing to high-quality code and ensuring smooth operations across the ML infrastructure.

Key Responsibilities:

• Participate in Scrum ceremonies and contribute to sprint planning and retrospectives.
• Scope and resolve technical issues related to ML pipelines and infrastructure.
• Write and implement clean, scalable, and maintainable code for ML workflows.
• Submit and manage pull requests, ensuring code quality through linters and scanners.
• Conduct and participate in code reviews to maintain high standards.
• Collaborate with data scientists and engineers to deploy and monitor ML models.
• Manage model lifecycle using MLFlow Hub and integrate with cloud-native solutions.
• Work with LLMs to build intelligent applications and services.

Technical Skills:

• 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.