Job Title

Hiring: Senior Data Scientist / GenAI EngineerExperience: 4–12 YearsDomain: Data Science | GenAI | AI/MLEmployment Type: Full-timeLocation: Pan IndiaRole OverviewWe are looking for an experienced Data Science & GenAI professional with strong expertise in AI/ML, Large Language Models (LLMs), RAG architectures, and Cloud platforms. The ideal candidate will have a strong analytical mindset, hands-on model development experience, and the ability to translate business problems into scalable AI solutions.✅ Mandatory Skills- Data Science & AI/ML - Generative AI (GenAI) - Python - RAG (Retrieval Augmented Generation) - NLP / LLMs - Cloud Platforms: Azure / AWS / GCP (any one) - Vector Databases - Model Training, Inference & Deployment➕ Secondary / Good-to-Have Skills (Any)- Machine Learning & Deep Learning - ChatGPT, LangChain, Prompt Engineering - Vector Stores, LLaMA, Transformers - Computer Vision, OCR - Regression, Classification, Forecasting - Hyperparameter Tuning - MLOps & Model MonitoringKey Responsibilities- Design, develop, and deploy AI/ML and GenAI solutions for real-world business problems - Build and optimize RAG-based applications using LLMs and vector databases - Work with structured and unstructured data for NLP, NLG, and LLM use cases - Develop, train, fine-tune, and deploy ML/DL models at scale - Collaborate with cross-functional teams in a fast-paced agile environment - Ensure best practices in model performance, scalability, and governanceTechnical Expertise- Strong understanding of ML algorithms: GPTs, CNN, RNN, SVM, Naive Bayes, k-NN, Decision Forests - Hands-on experience with TensorFlow, Keras, PyTorch, Pandas, NumPy (deep expertise in at least one) - Experience with NLP, NLG, and LLMs such as BERT, LLaMA, GPT, PaLM, BLOOM, LaMDA, DALL·E - Proficiency in SQL & Python (Scala/Java/C++ is a plus) - Experience with Big Data & Cloud AI services: - AWS SageMaker, Azure Cognitive Services, Google Colab - Hadoop, PySpark, Hive, AWS EMR - Knowledge of NoSQL & Vector Databases: MongoDB, Cassandra, HBase, etc. - Exposure to BI tools: Tableau, Power BIAnalytical & Soft Skills- Strong foundation in statistics, algebra, and applied mathematics - Excellent problem-solving and analytical thinking - Strong business acumen with a data-driven mindset - Excellent communication and presentation skills✅ Ideal Candidate- Data-oriented professional with end-to-end AI solution experience - Comfortable working in fast-paced, collaborative environments - Passionate about GenAI, LLMs, and modern AI architecturesInterested candidates can share their resume or reach out directly at Purbita.Mondal@(You can add contact details, location, notice period, and compensation here.)