NS
Senior Data Scientist
Accepting applicationsNewVision Software · Pune District, Maharashtra, India
Full-Time Mid_senior PythonMachine LearningAzureSQLDocker
Estimated market salary
₹7-12 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
3d ago
Category
Manufacturing
Experience
Mid_senior
Country
India
Role: Senior Data Scientist
💼 Experience: 6 -10 Years
🏢 Mode of Work: Hybrid
Must Have Skills
Python, Computer Science in Artificial Intelligence or Machine Learning, Docker and Kubernetes, CI/CD Pipeline, Data Science – AI Data Science – ML, ML, GitHub, Rest API, Azure, RPA, SQL
About the Role
We are looking for an experienced Senior AI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI, Advanced RAG, and modern AI frameworks. You will play a key role in architecting scalable AI applications, mentoring team members, and driving AI innovation from concept to production.
Key Responsibilities
Design, develop, and deploy production-grade LLM-powered applications using Python.
Architect and implement Agentic AI systems with multi-agent orchestration, tool calling, memory, and workflow automation.
Design and optimize Advanced RAG pipelines using vector databases, hybrid search, and enterprise knowledge sources.
Develop and integrate Model Context Protocol (MCP) servers and AI tool integrations.
Build and optimize prompt engineering strategies, AI evaluations, and guardrails for enterprise use cases.
Optimize token usage, latency, and cost for production AI applications.
Integrate AI models using REST APIs, SDKs, and cloud AI services such as Azure OpenAI and Azure AI Foundry.
Build AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, and LlamaIndex.
Collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI solutions.
Mentor junior engineers and contribute to AI best practices, architecture, and technical decision-making.
Stay current with emerging GenAI technologies, frameworks, and industry trends.
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
6–10 years of software development experience with at least 3 years in AI/ML or Generative AI.
Strong proficiency in Python and API development.
Hands-on experience with:
Large Language Models (LLMs)
Agentic AI and multi-agent frameworks
Advanced RAG architectures
Prompt Engineering
Embeddings, semantic search, and vector databases
Model Context Protocol (MCP)
Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar frameworks.
Experience with Azure OpenAI Service, Azure AI Foundry, OpenAI APIs, or equivalent cloud AI platforms.
Strong understanding of token optimization, model evaluation, observability, and performance tuning.
Excellent problem-solving, communication, and technical leadership skills.
Nice-to-Have
Experience with Claude APIs, GitHub Copilot integrations, or enterprise AI copilots.
Knowledge of fine-tuning, LLMOps, and MLOps.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Exposure to React, Streamlit, or Gradio for AI application development.
Experience building enterprise-scale AI solutions on Azure or other cloud platforms.
What You'll Gain
Opportunity to build enterprise-scale AI products using cutting-edge GenAI technologies.
Hands-on experience with Agentic AI, MCP, Advanced RAG, and modern AI platforms.
Collaborative, innovation-driven environment with opportunities to mentor and lead.
Continuous learning and career growth while working on impactful AI solutions.
Show more Show less
💼 Experience: 6 -10 Years
🏢 Mode of Work: Hybrid
Must Have Skills
Python, Computer Science in Artificial Intelligence or Machine Learning, Docker and Kubernetes, CI/CD Pipeline, Data Science – AI Data Science – ML, ML, GitHub, Rest API, Azure, RPA, SQL
About the Role
We are looking for an experienced Senior AI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI, Advanced RAG, and modern AI frameworks. You will play a key role in architecting scalable AI applications, mentoring team members, and driving AI innovation from concept to production.
Key Responsibilities
Design, develop, and deploy production-grade LLM-powered applications using Python.
Architect and implement Agentic AI systems with multi-agent orchestration, tool calling, memory, and workflow automation.
Design and optimize Advanced RAG pipelines using vector databases, hybrid search, and enterprise knowledge sources.
Develop and integrate Model Context Protocol (MCP) servers and AI tool integrations.
Build and optimize prompt engineering strategies, AI evaluations, and guardrails for enterprise use cases.
Optimize token usage, latency, and cost for production AI applications.
Integrate AI models using REST APIs, SDKs, and cloud AI services such as Azure OpenAI and Azure AI Foundry.
Build AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, and LlamaIndex.
Collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI solutions.
Mentor junior engineers and contribute to AI best practices, architecture, and technical decision-making.
Stay current with emerging GenAI technologies, frameworks, and industry trends.
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
6–10 years of software development experience with at least 3 years in AI/ML or Generative AI.
Strong proficiency in Python and API development.
Hands-on experience with:
Large Language Models (LLMs)
Agentic AI and multi-agent frameworks
Advanced RAG architectures
Prompt Engineering
Embeddings, semantic search, and vector databases
Model Context Protocol (MCP)
Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar frameworks.
Experience with Azure OpenAI Service, Azure AI Foundry, OpenAI APIs, or equivalent cloud AI platforms.
Strong understanding of token optimization, model evaluation, observability, and performance tuning.
Excellent problem-solving, communication, and technical leadership skills.
Nice-to-Have
Experience with Claude APIs, GitHub Copilot integrations, or enterprise AI copilots.
Knowledge of fine-tuning, LLMOps, and MLOps.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Exposure to React, Streamlit, or Gradio for AI application development.
Experience building enterprise-scale AI solutions on Azure or other cloud platforms.
What You'll Gain
Opportunity to build enterprise-scale AI products using cutting-edge GenAI technologies.
Hands-on experience with Agentic AI, MCP, Advanced RAG, and modern AI platforms.
Collaborative, innovation-driven environment with opportunities to mentor and lead.
Continuous learning and career growth while working on impactful AI solutions.
Show more Show less