Data Science Engineer
- Sutherland
- 7 - 12 years
- Hyderabad
- 12 hours ago
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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 / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: SutherlandLocation(s): Hyderabad+ View Contact
Keyskills: Gen AI Natural Language Processing Ptyhon LLM Deep Learning Machine Learning
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