3 years

0 Lacs

Posted:2 months ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary

  • Identify and prioritize AI use cases; define success metrics and ROI.
  • Rapidly prototype with LLMs and traditional ML; iterate based on user feedback.
  • Build data pipelines (ETL), prompt flows/agents, and inference endpoints.
  • Integrate AI apps with internal tools (APIs, webhooks, RPA) and enterprise systems.
  • Productionize: testing, evaluation, monitoring, guardrails, and cost/perf tuning.
  • Documentation, enablement, and training; drive adoption and change-management.
  • Ensure data privacy, security, and compliance with company policies.

*

  • 3–6+ years in software/ML/automation; strong Python/JS and API experience.
  • Practical experience with LLM platforms (OpenAI, Azure, etc.), vector stores, and prompt engineering/evaluation.
  • Comfort with data workflows: SQL, ETL, basic analytics; cloud basics (AWS/Azure/GCP).
  • Experience integrating third-party services (webhooks, REST, OAuth), and deploying apps (Docker/CI/CD).
  • Clear communicator who can translate business needs into technical plans.

Job Type: Full-time

Work Location: In person

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