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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNoSQLPythonSparkSQLTableau
About the role
Key responsibilities & impact- Design, develop, and deploy scalable ML / AI solutions that enable natural language-driven automation, insights, and enterprise intelligence.
- Collaborate with UI/UX teams for AI-driven solution delivery
Requirements
What you’ll need- 3-6 years practitioner in data science
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools: Power BI, Tableau, or other visualization tools
Benefits
Comp & perks- Health insurance
- Professional development opportunities
- Flexible working arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLNoSQLSparkML algorithmsFastAPIDockerGenAILLM toolsFine-tuning techniques
