DATA SCIENTIST

TE Connectivity Corporation; Bengaluru; Híbrido; INR 2 500 000 - 4 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive Salary Package

Performance-Based Bonus Plans

Health and Wellness Incentives

Employee Stock Purchase Program

Community Outreach Programs / Charity

Employee Resource Group

Resumo da oferta

TE Connectivity seeks a Data Scientist to translate business problems into analytics using ML, statistics, and GenAI. You will collaborate with stakeholders to design production-grade models and deploy them across manufacturing, supply chain, forecasting, quality, and customer service domains.

Responsibilities include building scalable ML pipelines, evaluating models, and driving measurable business impact.

Qualificações

• Experience in building ML models and deploying them to production environments.
• Strong Python coding skills and proficiency with ML libraries.
• Hands-on with GenAI, RAG, embeddings, and vector databases.
• Familiarity with cloud platforms (Azure/AWS) and data pipelines.
• Ability to translate business problems into analytical solutions and present insights.

Responsabilidades

• Design, develop, and deploy predictive analytics solutions.
• Build GenAI solutions using LLMs and foundation models.
• Create scalable data pipelines and productionize AI initiatives.
• Partner with stakeholders to identify opportunities and measure impact.
• Communicate findings and recommendations to leadership.

Conhecimentos

Python

Pandas

NumPy

Scikit-Learn

TensorFlow

PyTorch

SQL

APIs

MLOps

Model deployment

Ferramentas

Azure Data Factory

Databricks

Azure ML

AWS SageMaker

Docker

CI/CD

Descrição da oferta de emprego

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

We are looking for a Data Scientist who can solve business problems using Machine Learning, Statistical Modeling, and Generative AI. The role involves partnering with business stakeholders to identify opportunities, developing AI/ML solutions, building production-grade models, and driving measurable business impact across areas such as manufacturing, supply chain, forecasting, quality, customer service, and enterprise productivity.

Roles & Responsibility:

AI & Machine Learning

• Design, develop, and deploy predictive and prescriptive analytics solutions.
• Apply machine learning techniques including regression, classification, clustering, anomaly detection, forecasting, and optimization.
• Conduct exploratory data analysis, feature engineering, and model evaluation.
• Build scalable ML pipelines and monitor model performance.

Generative AI

• Develop GenAI solutions using LLMs and foundation models.
• Build RAG (Retrieval Augmented Generation) applications using vector databases and embeddings.
• Utilize frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar agentic AI frameworks.
• Evaluate and optimize prompts, retrieval strategies, and model performance.

Data Engineering & Platform

• Work with structured and unstructured data from enterprise systems.
• Build data pipelines using SQL, Azure Data Factory, Databricks, or similar technologies.
• Develop and deploy solutions on Azure, AWS, or cloud-native platforms.
• Collaborate with engineering teams to productionize AI solutions.

Business Partnership

• Translate business challenges into analytical frameworks and AI solutions.
• Present insights and recommendations to stakeholders and leadership.
• Drive adoption of AI solutions and measure business impact.

Required Skills

Technical Skills

• Strong Python programming skills.
• Expertise in Pandas, NumPy, Scikit-Learn.
• Hands-on experience with TensorFlow, PyTorch, or similar frameworks.
• Strong SQL skills.
• Experience with Azure AI Foundry, Azure ML, Databricks, or AWS SageMaker.
• Experience with APIs, model deployment, Docker, and CI/CD pipelines.
• Understanding of MLOps and model lifecycle management.

GenAI Skills

• Hands-on experience with LLMs (GPT, Claude, Llama, Mistral, etc.).
• RAG architecture, embeddings, and vector databases.
• Prompt engineering and AI evaluation frameworks.
• Experience building AI agents and workflow automation solutions.

Analytics & Statistics

• Statistical modeling and hypothesis testing.
• Forecasting and time-series analysis.
• Experimental design and A/B testing.
• Model evaluation and explainability techniques.

Preferred Experience

• Manufacturing, Supply Chain, Automotive, Industrial, or Enterprise Analytics domain experience.
• Experience delivering AI solutions from ideation through production.
• Familiarity with Power BI, Tableau, or other visualization platforms.
• Experience working in global and cross-functional teams.

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.

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

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

Job Country: India

Travel Required: Less than 10%

Requisition ID: 161072

Workplace Type: Hybrid

External Careers Page: Information Technology