Job Title

Sutherland is seeking an attentive and analytical person to join us as Data Scientist. Interested suitable candidates please send resume topriti.kumari@Exp-7+ Years Notice period-Immediate Location-WFH/HyderabadJob DescriptionServe as the AI & data strategist, discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics, machine learning (ML), deep learning (DL), natural-language processing (NLP), generative AI (GenAI), and agentic AI. Partner with engineering to design, build, and harden production-grade data and AI products (e.g., RAG search, LLM-powered assistants, anomaly-detection services). Run analytical experiments—classification, forecasting, LLM fine-tuning, prompt-engineering A/B tests—to solve business problems across multiple domains. Collect, clean, and enrich large structured, semi-structured, and unstructured datasets (text, image, audio, sensor, graph). Design, train, and validate classical ML models, DL architectures (CNN, RNN, Transformers), and instruction-tuned LLMs; measure drift and conduct error analysis to drive iterative improvement. Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search, function calling, and tool invocation. Document findings, publish reusable components, and mentor junior data scientists and ML engineers.Qualifications Experience 7+ Years delivering data-driven solutions, with demonstrable depth in at least two of: ML, DL, NLP, GenAI, agentic AI. Hands-on proficiency in Python (pandas, NumPy, scikit-learn), DL frameworks (TensorFlow or PyTorch), and LLM / GenAI toolkits (Hugging Face Transformers, LangChain/LangGraph, Google ADK). Proven track record in feature engineering, pattern recognition, predictive modeling, and LLM fine-tuning / evaluation. Experience optimizing GPU / TPU workloads and scaling distributed training or inference. Familiarity with vector databases (FAISS, Chroma, Pinecone) and distributed data systems (Spark, BigQuery, Snowflake).· Nice to have: Text Analytics experience · Nice to have: Advanced Degree or Certification in Statistics