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Capgemini
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Data Scientist - (Controlling Furnance)

Data Scientist - (Controlling Furnance)

Capgemini

6 - 9 years

11 - 15 Lacs

bengaluru

Posted:13 hours ago| Platform:

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Skills Required

data scientist rest data pipelines google cloud platform forecasting data mining microsoft azure llm data engineering data quality tensorflow data science compliance business transformation pytorch data governance azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Long Description

Role : Data Scientist

Location: Bangalore

Experince: 4 to 6

Choosing Capgemini means choosing a place where youll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine whats possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.

Role Overview

We are seeking an experienced Data Scientist (GenAI) to design, build, and productionize LLM-powered applications (chat agents, copilots, recommendation engines, anomaly/forecasting assistants) for industrial and operational environments. You will lead end-to-end GenAI solutionsfrom data collection and integration (including AVEVA PI System and control systems) to model training/fine-tuning, RAG pipelines, vector databases, and API deployment with high availability, observability, and CI/CD. The role blends data science, ML engineering, software development, and systems reliability in regulated, enterprise settings.

Key Responsibilities
1)

GenAI & LLM Solutions

Design and implement LLM applications using RAG with LangChain or LlamaIndex; manage prompts, context windows, and retrieval strategies.
Build pipelines for embedding generation, vector indexing, and semantic search (e.g., Pinecone, FAISS, Azure Cognitive Search).
Perform model training/fine-tuning (instruction tuning, LoRA/QLoRA, prompt optimization) using PyTorch/TensorFlow.

ML/Data Science

Implement anomaly detection, fault tolerance insights, forecasting (time-series), recommender systems, and data-driven decision-making.
Execute end-to-end data mining, analysis, and visualization; define data quality and conformity control metrics.
Build dynamic models that adapt to evolving process signals and operational contexts.

Data Engineering & Integration

Ingest and harmonize data from AVEVA PI System, control systems, REST APIs, databases, and cloud sources.
Design scalable data pipelines (batch/streaming), feature stores, and metadata/lineage tracking.
Ensure regulatory compliance, data governance, and privacy/security by design.

Cloud & Platform

Build on Microsoft Azure and/or Google Cloud Platform: storage, compute, managed ML, secrets, monitoring.
Select and operate vector databases and LLM inference endpoints (managed or self-hosted) with cost/performance guardrails.

What Youll Love About Working Here

Flexible work options and a culture that values collaboration and continuous learning.Opportunities to work on diverse projects and technologies.Access to training and certifications in software development and emerging technologies.Inclusive and supportive teams focused on innovation and excellence.

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Data Scientist - (Controlling Furnance)