Lead Data Scientist

GA Software Technologies Pvt. Ltd.
Department Icon Data Science Analytics & Machine Learning
Posted: 8 months ago
8-10 years
Pune, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Posted: 8 months ago
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Job Description

  • AI/ML Data Engineer- Building AI Driven system- Primary- AI/ML
  • Total years of exp: 8 + years
  • At least 5+ years of experience ML Engineering/MLOps/LLMOps (must)
  • Strong foundation in LLM operations prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
  • Hands-on experience with frameworks like LangChain, LlamaIndex, Hugging Face, or similar orchestration tools.
  • Proven ability to design and deploy on Azure Cloud (experience with AWS or GCP also valuable).
  • Relevant in Python- 5 years
  • Job Location: Chennai/Bangalore/Pune
  • Vendor rate- According to FG
  • BSD- Once the candidate BGV is completed from the customer end, billing will get started from then onwards
  • What Youll Do
  • Architect and deliver end-to-end AI solutions, from model design and RAG pipelines to scalable APIs and microservices.
  • Build and deploy agentic AI systems that enable autonomous task orchestration and reasoning.
  • Lead efforts to operationalize LLMs, including safety guardrails, evaluation pipelines, and performance monitoring.
  • Collaborate with product, data, and cloud teams to integrate AI capabilities into production environments.
  • Mentor engineers and set technical direction for AI development standards and best practices.
  • What Youll Bring
  • 10+ years of software engineering experience, including deep expertise in Python and production-grade ML/AI systems.
  • Atleast 5+ years of experience ML Engineering/MLOps/LLMOps (must)
  • Strong foundation in LLM operations prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
  • Hands-on experience with frameworks like LangChain, LlamaIndex, Hugging Face, or similar orchestration tools.
  • Proven ability to design and deploy on Azure Cloud (experience with AWS or GCP also valuable).
  • Solid understanding of DevOps principles CI/CD, containerization (Docker), and GitOps workflows.
  • Experience delivering reliable, well-tested, and maintainable code in agile environments.
  • Excellent communication skills and a collaborative, problem-solving mindset.
  • Nice to Have
  • Familiarity with Databricks and/or Snowflake.
  • Understanding of enterprise-grade security (OAuth, OIDC, SSO).
  • Experience with TDD, observability tools (e.g., New Relic, Splunk), and structured documentation (OpenAPI).

Skills

PythonSnowflakeSplunkAi/mlData EngineerPrompt EngineeringAiMlData Scientist

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