
Data Scientist
3 days ago
Job Title: Senior Data Scientist GenAI, LLMs, RAG, Cloud
Experience: 5 to 12 years
Location: Mumbai (Powai)
Drive Date: 20th September (Saturday)
Employment Type: Full-time Hybrid mode 2 days WFH
Job Description
We are hiring experienced Senior Data Scientists with expertise in Generative AI, LLMs, RAG, and Cloud-native AI/ML solutions. If you're passionate about building scalable AI systems and working with cutting-edge technologies, join us for our face-to-face hiring drive in Mumbai (Powai) on 20th September (Saturday).
Mandatory Skills
- Data Science, AI/ML, Generative AI (GenAI)
- Python (advanced proficiency)
- Retrieval-Augmented Generation (RAG)
- Cloud: Azure / AWS / GCP (at least one)
- NLP, NLG, LLMs (e.g., GPT, BERT, LLaMA, PaLM, LaMDA, BLOOM, DALL
•E)
Secondary/Preferred Skills
- LangChain, Prompt Engineering, ChatGPT, LLaMA
- Vector databases (FAISS, Pinecone, Chroma)
- Machine Learning, Deep Learning, Transformers, CNN, RNN, SVM, k-NN, Naive Bayes, Decision Forests
- OCR, Computer Vision
- Regression, Forecasting, Classification
- Hyperparameter Tuning, Model Training, Inference, Deployment
- MLOps (MLflow, Kubeflow, CI/CD)
- SQL, NoSQL (MongoDB, Cassandra, HBase)
- BI Tools: Tableau, Power BI
- Big Data: Hadoop, PySpark, Hive, AWS EMR
- Data Science Libraries: TensorFlow, PyTorch, Keras, Pandas, NumPy, Microsoft CNTK
Responsibilities
- Design, develop, and deploy AI/ML models using GenAI and LLMs
- Build RAG pipelines and integrate with vector databases
- Collaborate with cross-functional teams to deliver scalable AI solutions
- Optimize model performance and ensure production-grade deployment
- Work with cloud-native tools and MLOps pipelines
- Translate business problems into data science solutions
Best regards,
Namrata Devrukhkar
LTIMindtree Talent Acquisition Team
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