We use cookies to offer you the best possible website experience Your cookie preferences will be stored in your browser s local storage This includes cookies necessary for the website s operation Additionally you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website s performance as well as cookies used to display content tailored to your interests Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies Modify Cookie Preferences Accept All Cookies Search Jobs Search Jobs Apply now Start Please wait Job Title SR DATA SCIENTIST Posting Start Date 1 27 26 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 Responsibility RESPONSIBILITIES Technical Strategy Leadership Define and lead the technical roadmap for machine learning deep learning LLMs and AI initiatives Architect end-to-end ML pipelines including data ingestion feature engineering model training evaluation deployment and monitoring Mentor junior data scientists and provide technical guidance across modeling experimentation and best coding practices Establish standards for model governance explainability reproducibility and documentation Machine Learning Predictive Modeling Oversee the design development and deployment of supervised and unsupervised learning models including classification regression forecasting clustering and anomaly detection Implement feature engineering model optimization hyperparameter tuning and MLOps practices for scalable production systems Conduct A B experiments evaluate model performance and ensure robustness fairness and compliance Lead initiatives involving Large Language Models LLMs Generative AI and Agentic AI to enable content creation workflow automation and autonomous decision-making Fine-tune evaluate and deploy foundational models and multimodal AI architectures Build conversational agents recommendation engines and knowledge reasoning systems leveraging transformer-based models Deep Learning Computer Vision Drive research and application of ANNs RNNs LSTMs Transformers Computer Vision and Transfer Learning techniques for sequential image and multimodal data Develop and optimize architectures for tasks such as object detection segmentation OCR time-series prediction and embeddings Deploy deep learning models on cloud environments or edge devices using optimized runtimes TensorRT ONNX etc Data Engineering MLOps Collaborate with data engineering teams to design scalable data pipelines and cloud architectures AWS Azure GCP Implement CI CD pipelines for ML model monitoring systems and automated retraining workflows Ensure data quality governance and compliance with security and privacy standards Desired Candidate Profile EDUCATION KNOWLEDGE Master s in Computer Science Data Science Machine Learning Statistics or related field QUALIFICATIONS EXPERIENCE 6 years of experience in machine learning deep learning natural language processing or applied AI Strong proficiency in Python ML DL frameworks TensorFlow PyTorch Scikit-learn and data pipelines Experience deploying ML models to production environments Docker Kubernetes MLflow SageMaker Vertex AI etc Strong understanding of statistical modeling optimization and experimental design Experience with LLMs vector databases RAG pipelines and model fine-tuning Hands-on experience with Computer Vision transformers sequence modeling and multimodal architectures Familiarity with MLOps distributed training and big-data ecosystems Spark Databricks Snowflake Strong communication leadership and cross-team collaboration skills MOTIVATIONAL CULTURAL FIT Demonstrate Customer Focus Communicate Effectively 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 and on and 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 Market-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 Bangalore Karn taka 560076 India Posting City Bangalore Job Country India Travel Required None Requisition ID 146755 Workplace Type Hybrid External Careers Page Information Technology Apply now Start Please wait TE Connectivity does not accept unsolicited assistance from third parties for employment opportunities All CVs resumes submitted to any TE employee by a third party without a valid written search agreement for that specific position will not be entitled to any form of compensation and such submission shall be deemed the sole property of TE No fee will be paid in the event an individual is hired by TE regardless of any third party submission where no pre-existing written search agreement is in place If an agency agreement is in place submissions are position specific General submissions not targeted at a specific employment opportunity will not be entitled to any form of compensation Please no phone calls or emails 2023 TE Connectivity Corporation All Rights Reserved x Cookie Consent Manager When you visit any website it may store or retrieve information on your browser mostly in the form of cookies Because we respect your right to privacy you can choose not to allow some types of cookies However blocking some types of cookies may impact your experience of the site and the services we are able to offer Required Cookies These cookies are required to use this website and can t be turned off Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies which are all required to enable the website to function route is used for session stickiness careerSiteCompanyId is used to send the request to the correct data center JSESSIONID is placed on the visitor s device during the session so the server can identify the visitor Load balancer cookie actual cookie name may vary prevents a visitor from bouncing from one instance to another Functional Cookies These cookies provide a better customer experience on this site such as by remembering your login details optimizing video performance or providing us with information about how our site is used You may freely choose to accept or decline these cookies at any time Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies Show More Details Functional Cookies Provider Description Enabled YouTube YouTube is a video-sharing service where users can create their own profile upload videos watch like and comment on videos Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos Advertising Cookies These cookies serve ads that are relevant to your interests You may freely choose to accept or decline these cookies at any time Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies Show More Details Advertising Cookies Provider Description Enabled LinkedIn LinkedIn is an employment-oriented social networking service We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn

📌 Sr. Data Scientist (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru