Senior Data Scientist AI And GenAI

D4 Insight; Hyderabad; Vor Ort; INR 1.800.000 - 2.600.000; Vollzeit

Zusammenfassung

D4 Insight in Hyderabad, India is seeking a Senior Data Scientist to design, build, and deploy advanced AI solutions across machine learning, Generative AI, and agentic workflows.

The role involves solving complex business and regulatory challenges through scalable, secure, and production-ready AI applications. You will work with stakeholders to deliver measurable business value and ensure responsible AI practices throughout the lifecycle.

Qualifikationen

• 9-12 years of relevant experience in data science and applied AI.
• Strong Python, SQL, statistical modeling, and machine learning skills.
• Experience with deep learning frameworks such as PyTorch or TensorFlow preferred.
• Strong understanding of the end-to-end ML lifecycle, model evaluation, deployment, and monitoring.
• Experience with NLP, Generative AI, embeddings, RAG, hybrid search, and prompt engineering.
• Knowledge of document processing, OCR, metadata management, and PII detection or redaction.
• Experience with cloud AI platforms such as Google Vertex AI, AWS SageMaker/Bedrock, or Azure AI Services.
• Understanding of enterprise AI governance, privacy, compliance, and responsible AI practices.
• Strong communication skills and the ability to translate technical outcomes into business impact.

Aufgaben

• Develop machine learning, GenAI, and agentic AI solutions, including RAG pipelines, assistants, classification, forecasting, and recommendation systems.
• Build AI solutions for regulatory filing support and searchable knowledge bases.
• Develop domain-specific knowledge bases for regulatory intelligence, competitive insights, and customer sentiment.
• Manage the end-to-end AI lifecycle, including data preparation, modeling, evaluation, deployment, monitoring, and CI/CD.
• Implement document processing, retrieval strategies, prompt engineering, and safe tool-use mechanisms.
• Define evaluation metrics, test datasets, A/B testing, and model drift monitoring.
• Apply responsible AI practices, including privacy, fairness, bias mitigation, security, and governance.
• Collaborate with business stakeholders, architects, data teams, and platform engineers to deliver measurable business value.

Kenntnisse

Python

SQL

Statistical Modeling

Machine Learning

PyTorch

TensorFlow

ML Lifecycle

NLP

Generative AI

Embeddings

RAG

Hybrid Search

Prompt Engineering

Document Processing

OCR

Metadata Mgmt

PII Redaction

Vertex AI

SageMaker

Bedrock

Azure AI

Governance

Privacy

Compliance

Responsible AI

Communication

Jobbeschreibung

Location

Hyderabad, India

Experience

9-12 Years

Role Overview

We are looking for Senior Data Scientist to design, build, and deploy advanced AI solutions across machine learning, Generative AI, and agentic workflows. The role involves solving complex business and regulatory challenges through scalable, secure, and production-ready AI applications.

Key Responsibilities

• Develop machine learning, GenAI, and agentic AI solutions, including RAG pipelines, assistants, classification, forecasting, and recommendation systems.


• Build AI solutions for regulatory filing support and searchable knowledge bases.


• Develop domain-specific knowledge bases for regulatory intelligence, competitive insights, and customer sentiment.


• Manage the end-to-end AI lifecycle, including data preparation, modeling, evaluation, deployment, monitoring, and CI/CD.


• Implement document processing, retrieval strategies, prompt engineering, and safe tool-use mechanisms.


• Define evaluation metrics, test datasets, A/B testing, and model drift monitoring.


• Apply responsible AI practices, including privacy, fairness, bias mitigation, security, and governance.


• Collaborate with business stakeholders, architects, data teams, and platform engineers to deliver measurable business value.

Required Skills & Experience

• 9-12 years of relevant experience in data science and applied AI.


• Strong Python, SQL, statistical modeling, and machine learning skills.


• Experience with deep learning frameworks such as PyTorch or TensorFlow preferred.


• Strong understanding of the end-to-end ML lifecycle, model evaluation, deployment, and monitoring.


• Experience with NLP, Generative AI, embeddings, RAG, hybrid search, and prompt engineering.


• Knowledge of document processing, OCR, metadata management, and PII detection or redaction.


• Experience with cloud AI platforms such as Google Vertex AI, AWS SageMaker/Bedrock, or Azure AI Services.


• Understanding of enterprise AI governance, privacy, compliance, and responsible AI practices.


• Strong communication skills and the ability to translate technical outcomes into business impact.

Good to Have

Vector databases, LangChain, LangGraph, LlamaIndex, RAG evaluation frameworks, MLflow, PEFT/LoRA, synthetic data generation, and AI agent development.