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Coditude

MLOps Engineer

Pune · Senior

Older listing - lower visibility likelyVerified listingPosted 34d ago

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86Overall
64Skills
97Experience

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What we know about this role

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LOW

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First 72 hours

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Skills required

12 listed
CI/CDAgentic AIEnvironment ManagementFeature StoreMLOps (Machine Learning Operations)Phase (Waves)Microsoft AzureSnowflake (Data Warehouse)+4 more
CI/CDAgentic AIEnvironment ManagementFeature StoreMLOps (Machine Learning Operations)

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Job description

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.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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