Senior AI Developer Job Opportunity at TE Connectivity

At TE Connectivity, you can unlock your potential by collaborating with individuals from diverse backgrounds and various industries to contribute to a safer, sustainable, and more interconnected world.

Job Overview

The role involves solving complex problems and assisting stakeholders in making data-driven decisions using advanced quantitative methods, including machine learning. This position requires synthesizing large volumes of information and programmatically extracting signals from data.

Roles & Responsibilities

• Support all segments of TE Connectivity by addressing challenges in manufacturing analytics, revenue forecasting, predictive maintenance, and spend analytics.
• Collect and analyze data points to build analytics models and provide actionable insights.
• Possess expertise in forecasting techniques, regression analysis, and anomaly detection.
• Translate business challenges into analytical solutions and present findings to management.
• Apply data mining techniques, hypothesis testing, and statistical analysis to build high-quality prediction systems using AI/ML algorithms.
• Utilize predictive modeling to optimize customer experiences, enhance revenue generation, reduce costs, and improve transportation efficiency.
• Use common data science toolkits such as PYCARET, TensorFlow, Keras, NumPy, Sci-Kit, Flask, Pandas, and advanced libraries.
• Develop data visualizations using tools like ggplot, matplotlib, Tableau, and PowerBI.
• Experience in supply chain or manufacturing domains, handling projects in forecasting, optimization, anomaly detection, image classification, clustering, and sentiment analysis.
• Proficiency with query languages such as SQL and familiarity with Data Lakes, Data Factory, and Kubernetes.
• Hands-on experience in model development and deployment using Azure and CI/CD pipelines.

Competencies and Experience Required/Desired

• 6-8 years of experience in model development and deployment
• Proficiency in Python and Azure/AWS
• Expertise in statistical model building and machine learning
• Strong skills in data extraction, data cleansing, data preparation, and model deployment
• Experience in data mining and process optimization using cloud databases
• Expertise in CI/CD pipelines and Docker for model development and deployment
• Proficiency in statistical tools like Python, Azure Machine Learning, and Auto ML tools
• Knowledge of visualization tools such as Tableau or Power BI
• Experience implementing end-to-end analytical projects on Azure/AWS
• Ability to work independently with minimal supervision
• Innovative thinking and high work quality
• Updated with the latest tools and techniques in the analytical field
• Master’s degree (preferably in Statistics) or B.Tech/B.E.

Core Competencies

• Integrity
• Accountability
• Inclusion
• Innovation
• Teamwork

About TE Connectivity

TE Connectivity is a global leader in industrial technology, committed to creating a safer, more sustainable, and connected future. Our comprehensive range of connectivity and sensor solutions facilitates the distribution of power, signal, and data, advancing next-generation transportation, renewable energy, automated factories, data centers, medical technology, and more. With over 85,000 employees, including 8,000 engineers, across 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 delighted to offer an exceptional total package that adapts to different life circumstances, emphasizing the well-being of our employees:

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

Across our global sites and business units, our benefits packages, supported by TE or external providers, may vary by location.