Data Scientist

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About the Role

Join LTIMindtree’s cutting-edge AI & Data Science team to build intelligent solutions powered by GenAI, LLMs, and cloud-native technologies. If you're passionate about solving real-world problems using data, ML, and GenAI frameworks, this is your opportunity to make an impact.

Key Responsibilities

• Design and deploy AI/ML models for NLP, computer vision, and predictive analytics.
• Build GenAI applications using LLMs (GPT, BERT, LLaMA) and frameworks like LangChain.
• Implement RAG pipelines and integrate vector databases (FAISS, Pinecone).
• Collaborate with cross-functional teams to deliver scalable AI solutions.
• Develop APIs and microservices for model inference and deployment.
• Work with Azure, AWS, or GCP to manage cloud-native AI workflows.
• Apply statistical techniques for regression, classification, and forecasting.
• Ensure model governance and monitoring using MLOps tools (MLflow, Airflow, Docker).

Must-Have Skills

• Python (advanced), SQL
• GenAI, LLMs, Prompt Engineering
• RAG architecture, vector stores
• NLP/NLG techniques
• Cloud: Azure / AWS / GCP
• Data Science & Machine Learning fundamentals

Good-to-Have Skills

• LangChain, ChatGPT, LLaMA, PaLM, BLOOM
• Deep Learning (CNN, RNN, Transformers)
• OCR, Computer Vision
• BI Tools: Tableau, Power BI
• Big Data: Hadoop, PySpark, Hive
• NoSQL: MongoDB, Cassandra, HBase
• Programming: R, Scala, Java, C++
• Applied statistics and optimization

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or related field
• Relevant certifications in AI/ML, Cloud, or GenAI (preferred)