Moosapet Hyderabad Telangana Senior data scientist Jobs – 137 Open Jobs Today

Sr. Principal Data Scientist
Providence Global Center —Hyderabad, Telangana
- Part-time
- Azure
- Master's degree
- Databases
- Health insurance
V&A Transformation--Sr Associate Data Scientist
Amgen —Hyderabad, Telangana
- Microsoft Access
- Azure
- Computer Science
CDNA_Sr Manager – Investment and Media Analytics TA Lead
Amgen —Hyderabad, Telangana
- SQL
- In-person
- Python
Senior AI ML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Doctoral degree
- Computer Science
- Writing skills
- Health insurance
Senior Software Engineer - AI
Lyric —Hyderabad, Telangana
- Full-time
- Azure
- AWS
- Machine learning
1d
Agentic AI Engineer for AI &DS, BSI
Novartis —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Specialist, IT Application Solutions, Gen. AI Specialist
Celanese International Corporation —Hyderabad, Telangana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Lead Analyst - Agentic AI Engineer
CGI —Hyderabad, Telangana
- Full-time
- Java
- Master's degree
- Software development
Quick apply
Sr. Delivery Consultant-AI/ML, ProServe
AWS ProServe IN - Karnataka —Hyderabad, Telangana
- Full-time
- Computer Science
- SQL
- AWS
Sr AI Engineer
Anblicks —Hyderabad, Telangana
- Azure
- Doctoral degree
- Computer Science
Quick apply
Sr. AI/ML Engineer
Proclink —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Databases
Staff AI Data Scientist
Teradata —Hyderabad, Telangana
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- B.Sc
Quick apply
Lead Consultant - GenAI Engineer (Cloud: GCP)
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply

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V&A Transformation--Sr Associate Data Scientist
Amgen —Hyderabad, Telangana
This role involves creating analytics solutions to address customer needs and opportunities. As an Associate Data Scientist, you will be responsible for…

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Sr. Principal Data Scientist

Providence Global Center
Hyderabad, Telangana

Apply Now

Job details

Part-time | Full-time

Benefits

Health insurance

Qualifications

Data modelling
Azure
Law
Enterprise Software
Master's degree
Databases
Microservices
RBAC
Machine learning
PostgreSQL
APIs
ServiceNow
Data science
Solution architecture
AI
Communication skills
Graph databases
Python

Full job description

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.

Why Us?

Best In-class Benefits
Inclusive Leadership
Reimagining Healthcare
Competitive Pay
Supportive Reporting Relation

An ideal fit for this role would be someone who has experience in Data Engineering and transitioned to design and built advanced data science and AI solutions across the enterprise. This role operates at the intersection of data science, data engineering and AI engineering, driving high‑impact use cases in machine learning, and Generative AI while ensuring responsible, secure, and scalable adoption.

This is a hands‑on individual contributor role with broad influence across teams, platforms, and leadership stakeholders.

Key Responsibilities:

AI & Advanced Data Engineering Architecture

Lead design and adoption of AI-powered data engineering solutions leveraging Azure AI, Snowflake Cortex AI, and modern LLM ecosystems
Architect and implement RAG (Retrieval-Augmented Generation) patterns, semantic search, agent-based workflows, and intelligent data products
Define scalable patterns for LLM integration with enterprise data platforms, including prompt orchestration, context management, and grounding strategies
Establish best practices for model evaluation, monitoring, guardrails, and responsible AI implementation
Drive adoption of vector-based architectures (embeddings, Vector DBs) for enterprise AI use casesAI

Data Platform & AI Architecture Leadership

Own end-to-end data and AI platform architecture across lakehouse, warehouse, and AI layers ensuring scalability, performance, and cost efficiency
Define standards for AI-ready data modeling, including semantic layers, feature stores, and domain-driven data products
Architect integration between Azure AI services, Snowflake Cortex AI, and enterprise data platforms
Drive platform optimization and enablement of real-time and batch AI inference pipelines
Establish reusable frameworks for AI/ML lifecycle management (MLOps/LLMOps)

Enterprise Integrations & AI Data Products

Lead design of consumer-centric AI data products, enabling analytics, applications, and AI-driven decisioning
Architect robust ingestion and integration patterns for structured, unstructured, and streaming data supporting AI workloads
Enable seamless integration of LLM applications with enterprise systems via APIs, event-driven architectures, and knowledge layers
Ensure alignment with enterprise security, governance, and responsible AI standards (RBAC, data privacy, model safety)

Strategic Impact & Thought Leadership

Define and drive the enterprise AI + Data Engineering strategy, aligning with business and technology roadmaps
Identify and scale high-value AI use cases leveraging LLMs, RAG, and intelligent automation
Act as a trusted advisor in architecture reviews and leadership forums for AI and data platforms
Mentor teams on AI engineering best practices, emerging technologies, and platform capabilities

Required Qualifications:

15+ years of experience in data engineering, AI engineering, or platform architecture within large-scale enterprise environments
Proven experience operating at a Principal / Solution Architect level, influencing cross-functional architecture decisions
Strong expertise in modern data platforms (Snowflake, Azure Data Platform, Lakehouse architectures, medallion patterns)
Hands-on experience with Azure AI services (Azure OpenAI, Cognitive Services, AI Search, ML Services) and Snowflake Cortex AI
Deep understanding of RAG architectures, including embeddings, chunking strategies, retrieval optimization, and context orchestration
Experience with Vector Databases (e.g., Postgresql, Snowflake vector capabilities)
Strong knowledge of LLM ecosystems, including prompt engineering, tuning strategies, evaluation frameworks, and cost-performance trade-offs
Experience designing LLMOps/MLOps pipelines, including model monitoring, evaluation, versioning, and governance
Proficiency in Python and AI/data engineering frameworks
Expertise in enterprise data modeling (Dimensional, Data Vault, domain-oriented design) for AI-ready data platforms
Strong understanding of data security, governance, and AI safety, including RBAC, secrets management, and compliance considerations
Experience integrating AI solutions with enterprise platforms (APIs, microservices, event-driven architectures)
Familiarity with Enterprise Infrastructure domains (ServiceNow, CMDB) is a plus
Excellent interpersonal and stakeholder communication skills, to build strong collaboration within and across teams.

Good to Have:

Experience building agent-based AI systems and autonomous workflows
Exposure to multi-modal AI (text, image, structured data)
Familiarity with knowledge graphs and semantic layers for AI
Experience driving enterprise-wide AI adoption programs

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

Apply Now

Refine Your Search

senior data scientist jobs in moosapet hyderabad telangana

Sr. Principal Data Scientist

V&A Transformation--Sr Associate Data Scientist

CDNA_Sr Manager – Investment and Media Analytics TA Lead

Senior AI ML Engineer

Senior Software Engineer - AI

Agentic AI Engineer for AI &DS, BSI

Senior Specialist, IT Application Solutions, Gen. AI Specialist

Lead Analyst - Agentic AI Engineer

Sr. Delivery Consultant-AI/ML, ProServe

Sr AI Engineer

Sr. AI/ML Engineer

Staff AI Data Scientist

Lead Consultant - GenAI Engineer (Cloud: GCP)

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