MLOps Engineer

Job Title : Senior Software Development Engineer - MLOps

Location : Bangalore, India

Experience Level : 3-5 years

Work Mode : In-office

About Us :

We are a fast-growing startup revolutionizing inventory scanning in the warehouse industry. Our team is agile, curious, and deeply passionate about building reliable and scalable systems across the stack - from MLOps pipelines to robust configuration infrastructure and distributed data pipelines.

Role Overview

- We're looking for a Python Engineer who thrives in dynamic environments and has a strong grasp of software architecture and distributed systems.

- You'll 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.

- 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 :

1. MLOps frameworks (e.g., MLflow, DVC, Airflow)

2. FastAPI or similar Python-based web frameworks

- Infrastructure-as-code and structured config formats (e.g., YAML, JSON, Ansible)

You're a Great Fit If You Are :

- Design-oriented - You care about abstraction, maintainability, and writing systems that are easy to reason about.

- Adaptable - You can switch contexts easily and learn new technologies with confidence.

- Collaborative - You enjoy working with cross-functional teams to deliver end-to-end features.

- Detail-conscious - You think deeply about edge cases, system behavior, and monitoring.

Perks & Benefits :

- Lunch on us - Fresh meals provided daily at the office.

- Cutting-edge problems - Work at the intersection of software, hardware, and AI.

- Growth-driven culture - A team that encourages continuous learning and experimentation.