Bengaluru Karnataka Data science engineer (infrastructure & network analytics) Jobs – 139 Open Jobs Today

SR. DATA SCIENTIST
TE Connectivity —Bengaluru, Karnataka
- Doctoral degree
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Cohesity Backup Engineer
Proziod Analytics —Bengaluru, Karnataka
- ₹13,00,000 - ₹20,00,000 a year
- Full-time
- Azure
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- Computer Science
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Senior Software Engineer I - Scala
McKinsey & Company —Bengaluru, Karnataka
- Azure
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Product Owner for Cloud Platform Development
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Sr. Backend Engineer
CrowdStrike —Bengaluru, Karnataka
- Full-time
- Azure
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- SQL
Staff Software Engineer
Calix —Bengaluru, Karnataka
- Email
- Hybrid work
- Computer Science
- B.Sc
- Java
Senior AI & ML Engineer
Nexthink —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
- Health insurance
- Paid time off
Quick apply
Project Manager - Periscope
McKinsey & Company —Bengaluru, Karnataka
- Azure
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8d
Senior Software Engineer - 1630
GHX —Bengaluru, Karnataka
- Computer Science
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Senior Technical Lead
Infinite Computer Solutions Ltd. —Bengaluru, Karnataka
- Full-time
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13d
AI Business Analyst
ALSTOM —Bengaluru, Karnataka
- Full-time
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Manager, Software Engineering - 1497
GHX —Bengaluru, Karnataka
- Azure
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Senior Reporting/UX Developer
Finastra —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
- Paid sick time
Consultant - Environmental Planner
WSP —Bengaluru, Karnataka
- Hybrid work
- English
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Firmware Lead
Ayla Networks —Bengaluru, Karnataka
- Full-time
- Computer Science
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Sr. Cloud Architect - IoT
ABB Global Industries and Services Private Limited —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
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Quick apply
4d
Environmental Engineering III
AECOM —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Microsoft Access
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- Master's degree
- Health insurance
- Paid time off

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SR. DATA SCIENTIST

TE Connectivity -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

Ontology
TensorFlow
CI/CD
Node.js
Law
Doctoral degree
Computer Science
MCP
Kubernetes
PyTorch
Enterprise Software
Data structures
System design
Master's degree
Databases
Docker
Bachelor's degree
Machine learning
JavaScript
Neo4j
Continuous integration
Deep learning
Natural language processing
APIs
B.E.
AI
TypeScript
Graph databases
Python
Design patterns

Full job description

At TE, we strongly believe that data and AI are strategic drivers for future success. We are building a world-class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business units.

The Data and AI teams at TE are part of the TE Information Solutions (TEIS) Organization, building scalable solutions with AI agents and workflow for organization.

The Senior Data Scientist - Agentic AI & Workflow Automation will spearhead the development of intelligent agent systems and orchestrated workflows. This role focuses on designing, building, and deploying autonomous AI agents that drive business automation and operational excellence through cutting-edge Generative AI and LLM technologies.

Responsibilities

Agentic AI & Automation:

Design, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar
Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
Develop automation solutions using OpenAPI standards for integration with enterprise systems
Create self-healing, adaptive workflows that optimize business processes autonomously

Generative AI & LLM Solutions:

Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions
Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source models
Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions

Technical Implementation:

Work closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications
Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs
Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems
Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems
Stay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies

What your background should look like:

Education & Experience:

BE, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience
5+ years of overall technical experience with 2-3+ years of hands-on experience in Generative AI and LLM technologies
1+ years of experience building agentic systems, workflow automation, or autonomous AI applications

Agentic AI & Workflow Expertise:

Deep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar)
Strong knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar)
Expertise in OpenAPI standards, Agent-to-Agent (A2A) protocols, and Model Context Protocol (MCP)
Experience designing multi-agent architectures with memory, planning, and tool-use capabilities
Knowledge of agent evaluation, testing frameworks, and observability patterns

LLM & Generative AI:

Proven track record of deploying and optimizing LLM models for inference in production environments
Extensive experience with LLM orchestration frameworks (LangChain, LlamaIndex required)
Hands-on experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms
Expertise in RAG architectures, Fine-tuning techniques, and Prompt Engineering
Deep understanding of Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge Graphs

ML/DL Foundations:

Expert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5)
Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn
Strong programming skills in Python (required), plus JavaScript/TypeScript or Node.js
Deep understanding of data structures, algorithms, and system design patterns

MLOps/LLMOps:

Hands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and serving
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systems
Knowledge of monitoring, logging, and observability tools for production AI systems

Nice to Have

Experience with function calling, tool use, and external API integration in agent systems
Knowledge of reinforcement learning and agent training methodologies
Familiarity with semantic reasoning, planning algorithms (ReAct, Chain-of-Thought, Tree-of-Thoughts)
Experience with graph databases (Neo4j, Neptune) and ontology design
Contributions to open-source AI/ML projects
Publications or patents in AI/ML domain

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

Competitive Salary Package
Performance-Based Bonus Plans
Health and Wellness Incentives
Employee Stock Purchase Program
Community Outreach Programs / Charity Events
Employee Resource Group

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India

Posting City: Bangalore

Job Country: India

Travel Required: Less than 10%

Requisition ID: 151171

Workplace Type: Hybrid

External Careers Page: Information Technology

Apply Now

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data science engineer (infrastructure & network analytics) jobs in bengaluru karnataka

SR. DATA SCIENTIST

AI Project Business Analyst

Senior Software Engineer

Manager - Data Engineering

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Consultant - Environmental Planner

Firmware Lead

Sr. Cloud Architect - IoT

Environmental Engineering III

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