Data Scientist

Sutherland is seeking an attentive and analytical person to join us as Data Scientist.

Interested suitable candidates please send resume to priti.kumari@sutherlandglobal.com

Exp-7+ Years

Notice period-Immediate

Location-WFH/Hyderabad

Job Description

Serve 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