MLOps Engineer
Weekday AI
MLOps Engineer
coditude· Technology & Innovation
About this role
Phase: Initial phase setup, scaling with later phases
Required experience: 6+ years in ML / DevOps, with 3+ years dedicated MLOps setup and operations.
Role summary
Sets up and configures the MLOps foundation so that models can be trained, deployed, monitored, and governed on top of the data platform. Establishes the tooling and pipelines that later phases, including agentic AI, will depend on.
Key responsibilities
- Set up and configure the MLOps platform and CI/CD for models.
- Build pipelines for model training, deployment, versioning, and monitoring.
- Integrate MLOps tooling with the lakehouse and feature data.
- Establish model governance, lineage, and audit trails.
- Support reproducibility and environment management across dev and production.
- Prepare the MLOps foundation to support agentic AI capabilities in later phases.
Must-have skills and experience
- Proven MLOps setup and configuration experience end to end.
- Experience with model CI/CD, versioning, and monitoring in production.
- Familiarity with Azure ML or equivalent, and readiness for Snowflake-based workflows.
- Containerization and orchestration experience (Docker, Kubernetes).
- Strong understanding of model governance and reproducibility.
Nice to have
- Feature store experience.
- Exposure to agentic AI or LLM operations.
- Infrastructure-as-code experience.
Relevant stack
Azure ML / MLflow or equivalent, Docker, Kubernetes, CI/CD tooling, integrated with the lakehouse and Snowflake.
General attributes
- Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
- AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
- Strong self-learner who stays current with evolving tools, platforms, and practices.
- Good team player who collaborates well across engineering, operations, and stakeholder groups.
Frequently Asked Questions
Is the salary disclosed for the MLOps Engineer position at coditude?
The salary for this MLOps Engineer role at coditude is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the MLOps Engineer position at coditude located?
This MLOps Engineer role at coditude is based in Pune, MH, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the MLOps Engineer role at coditude full-time or part-time?
This is listed as a FULL TIME position. It is posted as a MLOps Engineer role in the Technology & Innovation department at coditude.
Which team or department does the MLOps Engineer at coditude belong to?
This MLOps Engineer position is part of the Technology & Innovation department at coditude. See the full job description for more information about the team structure and responsibilities.
How do I apply for the MLOps Engineer position at coditude?
Click the "Apply Now" button on this page. You will be redirected to coditude's official application portal hosted on keka where you can submit your application directly.
When was the MLOps Engineer job at coditude posted?
This MLOps Engineer position at coditude was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
MLOps Engineer
coditude
You'll be redirected to coditude's official application page on keka.