About the Job

About Aligned Automation

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 our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Job Description:

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 liners 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:

- Solid 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.

Technology Stack:

- Programming &
Scripting: Python

- Databases: Postgres

- Cloud & Storage: Amazon ECS,
S3

- ML Tools: MLFlow Hub, LLMs

- Version Control & Collaboration:
GitHub

📌 ML Engineer (Indore)
🏢 Recognized
📍 Indore