Machine Learning Engineer

Job Title: Senior Software Development Engineer – MLOps

Location: Bangalore, India

Experience Level: 3-5 years

Budget: 21 LPA

Role Overview

Weʼre looking for a Python Engineer who thrives in dynamic environments and has a strong grasp of software architecture and distributed systems. Youʼll design and build core backend components that power our AI-driven warehouse intelligence platform. This is a high-impact role with opportunities to solve complex systems problems, work closely with cross-functional teams, and drive engineering best practices.

What You'll Do

• Design, implement, and maintain Python-based tools and services across MLOps, data pipelines, and configuration management.
• Architect scalable and modular components for high-throughput data processing using technologies like Kafka.
• Collaborate with ML engineers, platform developers, and DevOps to build efficient and maintainable infrastructure.
• Contribute to engineering discussions on design patterns, performance, and scalability. Write clean, modular, and well-documented code following solid software engineering principles. T
• Take ownership of features end-to-end—from ideation and design to deployment and monitoring.

What We're Looking For

• 3-5 years of experience developing and maintaining Python applications in production environments.
• Strong software design skills with a focus on modularity, scalability, and fault-tolerance. Experience with Kafka or similar distributed messaging systems.
• Solid understanding of version control (Git), CI/CD workflows, and containerization tools like Docker.
• Exposure to any of the following areas: MLOps frameworks (e.g., MLflow, DVC, Airflow) FastAPI or similar Python-based web frameworks Infrastructure-as-code and structured config formats (e.g., YAML, JSON, Ansible)