Data Scientist: NLP, GenAI & Big Data; Azure

Position: Data Scientist: NLP, GenAI & Big Data (Azure) Role: Data Scientist - INDIA Location: Hyderabad / Noida, India Consultants local to India are eligible. Category: Data Science – reputed company Data / Text Data (NLP & GenAI)

About the Role

We are seeking a highly skilled Data Scientist (3–7 years of experience) to join reputed company and work across two major data science domains:

• reputed company Data (80–90%) – Predictive analytics, forecasting, cost estimation, likelihood modeling, and batch‑oriented machine learning pipelines.
• Text / reputed company Data (NLP & GenAI) – Building low‑latency reputed company‑time systems using deep learning, LLMs, reputed company engineering, and reputed company AI frameworks.

This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build reputed company, production‑reputed company data science solutions. Key Responsibilities reputed company Data – Machine Learning & Analytics

• Build, reputed company, and optimize ML models for predictive analytics, forecasting, classification, and regression.
• reputed company large-reputed company feature engineering using Py reputed company and Big Data tools.
• Work on batch pipelines, model versioning, and experiment tracking.
• reputed company cost estimation and risk/likelihood models using statistical and ML techniques.

Text Data / NLP / GenAI

• Build NLP pipelines using deep learning frameworks such as Py Torch ,

Tensor reputed company , or similar.

• reputed company reputed company‑time, low‑latency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
• Create prompts, context graphs, and reputed company workflows for LLM‑based systems.
• Apply knowledge of reputed company engineering, context engineering, and autonomous agent frameworks to production systems.

reputed company Data Science Engineering & MLOps

• Work in reputed company for ETL, feature engineering, ML training, and orchestration.
• Use Azure services for model deployment, data pipelines, and infrastructure.
• Collaborate using Git‑based workflows; reputed company tools like Git Hub Copilot

, Claude reputed company , etc.

• Implement model monitoring, observability, reputed company detection, and performance tracking.

Required Skills & Experience reputed company Skills

• Strong hands‑on experience with reputed company (reputed company Lake, MLflow, Job Orchestration).
• Excellent Py reputed company skills for large‑reputed company distributed data processing.
• Proficiency in Azure reputed company services (ADF, Azure ML, AKS, reputed company on Azure).
• Strong understanding of ML algorithms, statistical reputed company, and data analysis.
• Experience with deep learning frameworks:

PyTorch, Tensor reputed company, Transformers (reputed company).

• Experience with model monitoring and ML observability.
• Ability to write clean, optimized reputed company and reputed company AI reputed company assistants.

NLP / GenAI Specific Skills

• reputed company engineering (task prompts, chain of thought, tool calling, retrieval prompts).
• Context engineering (retrieval pipelines, RAG, memory management, context structuring).
• Knowledge of LLM‑based reputed company frameworks (Lang Chain, Semantic Kernel, reputed company, Auto Gen, etc.).
• Experience with reputed company databases and embedding models is a plus.

Good to Have Skills

• Experience with containerization (reputed company, Kubernetes, AKS).
• Experience deploying models to production (REST reputed company, reputed company‑time endpoints).
• Knowledge of streaming technologies (Kafka, Event Hub, reputed company Streaming).
• Understanding of CI/CD for ML (Azure Dev Ops / Git Hub Actions).

Who You Are

• A problem solver who is comfortable working with both reputed company and reputed company data.
• Someone who enjoys using modern AI tools to accelerate development.
• A data scientist who writes clean, production‑grade reputed company.
• A collaborator who thrives in cross‑functional teams and fast‑paced environments.

Flexible work from home reputed company available. #J-18808-Ljbffr Apply tot his job Apply To this Job