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Data Science Engineer @ Sutherland

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 Data Science Engineer

Job Description

Roles & responsibilities


  • 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 (Gen AI), 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

  • Proven experience in 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).sibilities

Preferred candidate profile

Job Classification

Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Sutherland
Location(s): Hyderabad

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Keyskills:   Gen AI Natural Language Processing Ptyhon LLM Deep Learning Machine Learning

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Sutherland

Sutherland Established in 1986, Sutherland Global Services is a global provider of business process and technology management services. Sutherland offers an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. One of the l...