AI Engineer / Data Scientist
- Compensation
- Not disclosed
- Location
- Mumbai; Pune
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Experience & Skills:
- 4 to 7 years of experience in software engineering/development with a minimum 3 years specializing in AI/ML roles.
- Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM.
- Strong programming skills in Python with a focus on Data Structures, cleaning, maintainable, and performant code.
- Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Experience working with MCP servers and Large
- Experience working with Agentic frameworks like LangChain/LangGraph Having a public Github code repository or Kaggle profile will be a big plus.
- Solid understanding of data structures, algorithms, software design principles, and scalable system design.
- Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus.
- Decent communication skills to effectively collaborate across global teams and handle client interactions.
- Self-driven, proactive mindset with a passion for problem-solving and innovation.
- Must have skills: LLMs, RAG, Agentic framework, Vector Databases, MCP, Prompting, API Development and Integration, Cloud Deployment, Python.
Full description
Develop and deploy advanced AI solutions using the latest Generative AI techniques including:
Retrieval-Augmented Generation (RAG) pipelines.
Designing and building Agentic AI systems to automate complex decision-making workflows.
Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation.
Build scalable AI workflows, adhering to robust engineering and code quality standards.
Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP).
Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions.
Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art.
What We’re Looking For: Experience & Skills:
4 to 7 years of experience in software engineering/development with a minimum 3 years specializing in AI/ML roles.
**Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on Data Structures, cleaning, maintainable, and performant code.Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines.
Experience working with MCP servers and Large Language Model (LLM) foundation models.Experience working with Agentic frameworks like LangChain/LangGraph **
Having a public Github code repository or Kaggle profile will be a big plus.
Solid understanding of data structures, algorithms, software design principles, and scalable system design.
Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus.
Decent communication skills to effectively collaborate across global teams and handle client interactions.
Self-driven, proactive mindset with a passion for problem-solving and innovation.
Must have skills: LLMs, RAG, Agentic framework, Vector Databases, MCP, Prompting, API Development and Integration, Cloud Deployment, Python.