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AI Developer

4 months ago

Bangalore, India TE Connectivity Full time


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 Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.Roles & Responsibilities

 

  • Data Scientist position will support all the segments of TE Connectivity. The key need is to work with various business units to understand their challenges in manufacturing analytics, Revenue Forecasting, Predictive Maintenance, Spend Analytics, Customer service etc. and collect available data points to prepare analytics model and insights which would help business to take decisions.
  • Demonstrate expertise in natural language processing (NLP), text analytics, and generative AI by utilizing advanced AI/ML algorithms.
  • Use pretrained models from Hugging Face and fine-tune large language models (LLM).
  • Apply deep learning techniques for text analytics, including transformers, neural network architectures, vector databases, and embeddings.
  • Leverage generative AI frameworks and tools such as LangChain, LlamaIndex, and agentic methodologies like CREWAI and AutoGen.
  • Apply data mining methods and statistical analysis to construct predictive systems aimed at improving customer experiences, revenue generation, cost reduction, and transportation optimization.
  • Develop and implement forecasting techniques, regression models, and text analytics solutions.
  • Utilize data science toolkits, including AWS, Azure ML, TensorFlow, Keras, NumPy, Sci-Kit Learn, Flask, Pandas, and PyCaret.Create visualizations using tools such as ggplot, matplotlib, Tableau, and PowerBI.
  • Use query languages like SQL and work with data lakes, data factories, and Kubernetes.
  • Develop and deploy models in Azure and AWS, leveraging CI/CD pipelines.
  • Present data-driven insights to management effectively.
Competencies And Experience Required/Desired

 

  • 4-6 Years’ experience Model Development and Deployment
  • Python, Azure ML, AWS Sagemaker
  • Expertise in Statistical model building and Machine Learning
  • Good knowledge on Data extraction, Data Cleansing, Data preparation, Model Development, and deployment for models
  • Mine and analyze data from on-prim/cloud database to drive optimization and process improvement 
  • Good understanding of Model development, CI/CD, Docker etc.
  • Proficient in Statistical tools like Python, Azure Machine Learning, Auto ML tools
  • End to End analytical project implementation on Azure /AWS
  • Accountability and work with minimum supervision
  • High work quality and innovative thinking
  • Knowledge of new tool/techniques in Analytical field
  • Master’s degree (preferably in Computer Science) or B.Tech /B.E
Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY


TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries. 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

 

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.