Software engineer specialist - AI

  • KOR, RBEI, 903, 7th Block, Koramangala, Bengaluru, Karnataka 560030, India
  • Contract
  • Legal Entity: Robert Bosch Engineering and Business Solutions Private Ltd.

Company Description

Robert Bosch Engineering and Business Solutions Private Limited (RBEI), is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global supplier of technology and services, offering end to end engineering, IT and Business solutions.

With over 18000 associates, RBEI is the largest software development center of Bosch outside Germany, indicating we are the Technology Powerhouse of Bosch in India. We have a global footprint with presence in US, Europe and the Asia Pacific region. RBEI is ISO 9001:2008 certified (2012), appraised at CMMI-L5 as per version 1.3 (2011), ASPICE - level3 based on version 2.5 and ISO 15504- 5 and 7, and also ISO 27001 with seven state-of-the-art facilities spread across Bangalore and Coimbatore in India, Ho Chi Minh City in Vietnam and Guadalajara in Mexico, ISO/IEC 20000-1:2011 certified (2014).

We nurture, build and sustain enduring customer relationships to enable direct operational and strategic benefits to our customers. We make it happen through qualified, motivated and flexible professional associates, who uphold the heritage and values of Bosch - time-tested over 125 years of a successful journey; a journey marked by quality, reliability and innovation of service to enhance the interest of our customers and the community we live in.

We provide solutions for businesses in primarily three areas:

•Engineering Services
•IT services
•Business services

Our focal industries:

•Automotive industry
•Industrial Technology
•Consumer Goods and Building Technology.

Our role
“We see RBEI as helping us to achieve the technological lead we need to have in order to prevail in increasingly competitive world markets….. RBEI is about ensuring product excellence under conditions that allow us to maintain our global competitiveness” – Mr. Franz Fehrenbach, Chairman of the Board of Management, Robert Bosch GmbH.

Job Description

Position Summary

ETM division of  RBEI seeks  Machine learning engineers with experience in collaborative filtering and recommender systems.  Should be able to analyze data in creative and innovative ways.  Should have experience with Natural Language Processing, Information Retrieval, and Recommender Systems.  As individual contributor, likely to work in an environment where He/she cooperate closely with a diverse team of colleagues, together striving to fulfil common targets. Good communication skills with both technical and business people. Ability to handle multiple competing priorities in a fast-paced environment desired.

Technical Responsibilities

  • Design, implementation, and deployment of scalable data pipelines.
  • Develop re-usable common frameworks, models and components that address repeatable machine learning tasks and problems/data sets for recommendation systems.
  • Strong proficiency in Python and the PyData ecosystem including Numpy, Pandas, Scikit-learn
  • Possesses good knowledge of Deep learning frameworks such as Tensorflow, PyTorch, MXNet, Chainer, Theano and Deeplearning4J.

·       Exposure to the full stack: from DevOps to frontend integrations, using open source and internal tools in a cloud environment

·       Collaborate with other  Machine Learning Researchers (PhDs), to address challenges head on.

·       Contribute intellectual property through patents

Qualifications

MTech in Sw subjects

Technical Skills

·       Deep Learning (Torch / Tensorflow / Theano/ CUDA toolkit/ CuDNN / Caffe), CNN/RNN/LSTM

·       Python, MongoDB, Java , R

·        Proficient with supervised and unsupervised machine learning algorithms.

·       Experience with big data technologies such as Hadoop, Spark, Redshift, and NoSQL.

Additional Information

Technical Skills

·       Deep Learning (Torch / Tensorflow / Theano/ CUDA toolkit/ CuDNN / Caffe), CNN/RNN/LSTM

·       Python, MongoDB, Java , R

·        Proficient with supervised and unsupervised machine learning algorithms.

·       Experience with big data technologies such as Hadoop, Spark, Redshift, and NoSQL.

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