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Senior Full Stack Data Scientist

1 hour, 46 minutes ago
India
Full-time
Senior
AI Engineer
Data Science and Analytics
Apache Spark AWS Azure CI/CD Databricks Docker GCP Generative AI GitHub Actions GitLab Kubernetes LLM Machine Learning Microservices Python
Apply Now
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008
View All Jobs 54

Description

  • Lead discovery and solution design for GenAI use cases by translating business problems into architecture decisions.
  • Build end-to-end GenAI applications, including data ingestion, retrieval layers, orchestration, backend APIs, and simple UI components when needed.
  • Design and implement RAG pipelines using vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks.
  • Select models, develop prompting strategies, and perform fine-tuning for text, code, and multimodal use cases.
  • Implement safety, compliance, and governance controls such as filters, PII handling, audit logs, and human-in-the-loop review.
  • Collaborate with data engineers, product owners, and full-stack developers on scalable integrations and SLAs.
  • Gather technical requirements and estimate planned work for GenAI initiatives.
  • Mentor other data scientists and engineers on GenAI patterns, code quality, and best practices.
  • Contribute to internal libraries, templates, and reusable GenAI components.
  • Stay current on the GenAI landscape and run targeted proof-of-concepts to validate new approaches.

Requirements

  • 6+ years of experience in Data Science or AI engineering.
  • 4+ years of experience developing production-ready Python AI code.
  • 2+ years of experience developing production-ready LLM-based code, preferably using RAG.
  • Strong knowledge of Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.
  • Deep understanding of LLM evaluators, validators, and guardrails.
  • Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, LangGraph, or similar orchestration stacks.
  • Hands-on experience designing or operating MCP servers/clients for LLM agents.
  • Strong Python skills, including production-grade code, packaging, and testing for data or ML services.
  • Solid understanding of ML/AI concepts, including algorithms, frameworks, model efficiency metrics, lifecycle, and architectures.
  • Familiarity with cloud environments such as Azure, GCP, or AWS, including AI-managed services.
  • Familiarity with CI/CD, testing, and containerized deployments.
  • Excellent English communication skills and the ability to explain complex technical concepts.
  • Preferred: experience designing and programming ML algorithms and data processing pipelines using Python.
  • Preferred: experience with CI/CD and DevOps tools such as GitHub Actions, GitLab, or Azure DevOps.
  • Preferred: experience productizing ML solutions with Spark/Databricks or Docker/Kubernetes.
  • Preferred: experience with agentic AI frameworks such as BMAD, multi-agent orchestration, or spec-driven AI workflows.

Benefits

  • Remote full-time work arrangement.
  • Opportunity to work on advanced Generative AI and LLM projects.
  • Role with technical ownership and architectural decision-making responsibility.
  • Opportunity to mentor others and contribute to internal reusable assets.

Interested in this position?

Apply directly on the company website

Apply Now

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