Infosys is seeking a Data Scientist / Gen AI Lead Consultant to implement end-to-end Generative AI and Agentic AI based solutions, fine-tune large language models, and deploy Machine Learning models to production, aligning with client data strategies across various technologies and platforms.
Requirements
- At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning
- Strong proficiency in Python programming
- Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI
- Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
- Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions
- Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc
- Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search)
Responsibilities
- end-to-end implementation of Gen AI and Agentic AI based solution
- fine tuning large language models
- Machine Learning models that includes identification of ‘right’ problem, designing ‘optimum’ solution, implementing using ‘best in class’ practices and deploying the models to production
- using multiple technologies and platforms
- Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI
- Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
- Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions
Other
- Bachelor’s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education
- At least 7 years of Information Technology experience
- Experience with Lean / Agile development methodologies
- This position may require travel, will involve close co-ordination with offshore teams
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply
