Moosapet Hyderabad Telangana Senior data scientist Jobs – 138 Open Jobs Today

Sr Machine Learning Engineer
Amgen —Hyderabad, Telangana
- Azure
- Java
- Master's degree
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 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
Senior AIML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Computer Science
- Data analysis skills
- Bachelor's degree
- Health insurance
3h

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Agentic AI Engineer for AI &DS, BSI
Novartis —Hyderabad, Telangana
Minimum 7 years working in advance data science projects, including 2-3 years leading high-performing data science or ML teams from problem framing.

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Sr Machine Learning Engineer

Amgen -
Hyderabad, Telangana

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Job details

1 day ago

Qualifications

Azure
Law
Kubernetes
Full-stack development
Enterprise Software
R
Encryption
PaaS
Git
Java
Master's degree
Databases
OS Kernels
AWS
Docker
Machine learning
SDKs
REST
GitHub
APIs
AI
gRPC
Python

Full job description

India - Hyderabad

JOB ID: R-251209 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Aug. 05, 2026 CATEGORY: Information Systems

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively.

Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.

Roles & Responsibilities:

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications.
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.

Must-Have Skills:

3-5 years in AI/ML and enterprise software.
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalise the right method for a given business problem.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.
Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.

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senior data scientist jobs in moosapet hyderabad telangana

Sr Machine Learning Engineer

Agentic AI Engineer for AI &DS, BSI

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Lead Analyst - Agentic AI Engineer

Sr AI Engineer

Sr. AI/ML Engineer

Staff AI Data Scientist

Lead Consultant - GenAI Engineer (Cloud: GCP)

Senior AIML Engineer

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