ML Engineer

Aligned Automation; Pune District; On-site; INR 2,200,000 - 3,600,000; Full time

Job summary

Aligned Automation Services Pvt Ltd in Pune is seeking a seasoned ML Engineer (MLOps) to build and deploy scalable ML pipelines within agile teams. You will specialize in integrating LLMs, managing model lifecycles with MLFlow, and delivering robust, production-ready ML workflows in cloud-native environments.

Collaboration with data scientists and software engineers is essential to ensure reliable monitoring, testing, and continuous improvement of AI services.

Qualifications

• Seasoned ML Engineer with strong MLOps expertise.
• Experience building robust ML pipelines and deploying models.
• Proficient with MLFlow for model tracking and deployment.
• Experience integrating large language models into production.

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.

Skills

Python

ML Ops

LLMs

MLFlow

GitHub

Postgres

S3

Tools

MLFlow Hub

Job description

Aligned Automation Services Pvt Ltd | Full time

At Aligned Automation, we live by our\"Better Together\"philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our4Cs—Care,Courage,Curiosity, andCollaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Job Description:

We are looking for aseasonedML Engineer (MLOps)to join our team and drive thedevelopment and deployment of scalable machine learning solutions. The idealcandidate will have deep expertise in building robust ML pipelines, integratinglarge language models (LLMs), and managing model lifecycle using tools likeMLFlow. You will work in agile teams, contributing to high-quality code andensuring smooth operations across the ML infrastructure.

Key Responsibilities:

• Participate inScrumceremoniesand contribute to sprint planning and retrospectives.
• Scope and resolve technical issuesrelated to ML pipelines and infrastructure.
• Write and implementclean,scalable, and maintainable codefor ML workflows.
• Submit and managepull requests,ensuring code quality through liners and scanners.
• Conduct and participate incodereviewsto maintain high standards.
• Collaborate with data scientists andengineers to deploy and monitor ML models.
• Manage model lifecycleusingMLFlow Huband integrate with cloud-native solutions.

WorkwithLLMsto build intelligent applications and services.

Technical Skills:

• Strong proficiencyinPythonfor ML and MLOps tasks.
• Experiencewithdatabases(especially Postgres).
• Familiarity withobject storagesystemslikeAmazon S3.
• Hands-on experiencewithLLMsand their integration into production systems.
• Proficient in usingMLFlowHubfor model tracking and deployment.
• ComfortablewithGitHubworkflows and version control.