AI Developer

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Unlock Your Potential at TE Connectivity

At TE Connectivity, you will unleash your potential by collaborating with a diverse team from various backgrounds and industries to create a safer, more sustainable, and interconnected world.

Job Overview

As an AI Developer at TE Connectivity, you will solve complex problems and assist stakeholders in making data-driven decisions by leveraging quantitative methods, including machine learning. Your role will involve synthesizing large volumes of information and extracting actionable insights from data programmatically.

Roles & Responsibilities

The Data Scientist position supports all segments of TE Connectivity. Key responsibilities include:

  • Collaborating with various business units to understand challenges in manufacturing analytics, revenue forecasting, predictive maintenance, spend analytics, and customer service to develop and prepare analytics models and insights.
  • Demonstrating expertise in natural language processing (NLP), text analytics, and generative AI using advanced AI/ML algorithms.
  • Utilizing pretrained models from Hugging Face and fine-tuning large language models (LLM).
  • Applying deep learning techniques for text analytics, including transformers, neural network architectures, vector databases, and embeddings.
  • Leveraging generative AI frameworks and tools such as LangChain, LlamaIndex, and agentic methodologies like CREWAI and AutoGen.
  • Applying data mining methods and statistical analysis to construct predictive systems aimed at enhancing customer experiences, revenue generation, cost reduction, and transportation optimization.
  • Developing and implementing forecasting techniques, regression models, and text analytics solutions.
  • Utilizing data science toolkits, including AWS, Azure ML, TensorFlow, Keras, NumPy, Sci-Kit Learn, Flask, Pandas, and PyCaret.
  • Creating visualizations using tools such as ggplot, matplotlib, Tableau, and PowerBI.
  • Using query languages like SQL and working with data lakes, data factories, and Kubernetes.
  • Developing and deploying models in Azure and AWS, leveraging CI/CD pipelines.
  • Presenting data-driven insights to management effectively.

Competencies and Experience Required

  • 4-6 years of experience in Model Development and Deployment.
  • Proficiency in Python, Azure ML, and AWS Sagemaker.
  • Expertise in statistical model building and machine learning techniques.
  • Good knowledge of Data extraction, Data Cleansing, Data preparation, Model Development, and Deployment for models.
  • Experience in mining and analyzing data from on-premises/cloud databases to drive optimization and process improvement.
  • Good understanding of Model development, CI/CD, Docker, etc.
  • Proficiency in statistical tools such as Python, Azure Machine Learning, and Auto ML tools.
  • Experience in end-to-end analytical project implementation on Azure/AWS.
  • Ability to work with minimal supervision and maintain accountability.
  • High work quality and innovative thinking.
  • Knowledge of new tools/techniques in the analytical field.
  • Master's degree (preferably in Computer Science) or B.Tech/B.E.

Core Competencies

  • Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

About TE Connectivity

TE Connectivity is a global leader in industrial technology, creating a safer, sustainable, productive, and connected future. Our wide range of connectivity and sensor solutions enables the distribution of power, signal, and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology, and more. With over 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that every connection counts. Learn more at and follow us on LinkedIn, Facebook, WeChat, Instagram, and X (formerly Twitter).

What TE Connectivity Offers

We are pleased to offer an exciting total package that can be flexibly adapted to meet changing life situations. The well-being of our employees is our top priority!

  • Competitive Salary Package
  • Performance-Based Bonus Plans
  • Health and Wellness Incentives