Company Name:-
Infineon Technologies

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Have an interest in building automated solutions and being able to collaborate with other teams with advanced AL & ML tasks? This job is for you!
In your new role you will:
Be responsible for building automated solutions for the Build, Test and Release of production ready NLU (natural language understanding), Computer Vision, and Machine Learning (ML) etc.

models
Work closely with Research Scientists, Data Scientists & Product Managers to investigate design approaches, evaluate technical feasibility & implement production ready AI & ML solutions leveraging recent advances in Deep Learning, Cloud Infrastructure and automated MLOps pipelines.

Work in an Agile/Scrum environment to deliver high quality software against tight schedules
You are best equipped for this task if you have:
4+ years of hands on experience in software development, including design, implementation, debugging, and support, building scalable system software and/or Services
Expertise in prototyping and scripting languages (R or Python) with applications of efficient large-scale data analysis in a complicated system
Systems engineering experience in a large, distributed environment
Track record of building and delivering mission critical, 24×7 production software systems
Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning and computer vision problems
Experience in building backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference on website/
Experience in building comprehensive data management systems for scalable data collection, labelling, processing, and evaluation
Ability to work with product teams and engineers to make applications of computer vision/ Natural Language Processing/ Machine Learning for Infineon
Knowledge of professional software engineering practices & best practices for the full software development life cycle , including coding standards, code reviews, source control management, build processes, testing, and operations
Knowledge of model optimization and compression techniques
Solid understanding of th

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