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Job Location: Bangalore
Robert Bosch Engineering and Business Solutions Private Limited 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 19,500 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Education and/or Work Experience Requirements:
Education:
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field (mandatory)
- Master’s degree in stats, applied math, or related discipline (Preferred)
- Professional Certifications in Data Science and ML ( Azure, AWS, AutoML Platforms) (Preferred)
- Minimum of 2+ years of experience applying Machine Learning techniques
Key Requirements (Work Experience)
- 2+ years’ experience with data mining and statistical analysis techniques(in R, Python), data processing, database programming and data analytics
Education and/or Work Experience Requirements:
Education:
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field (mandatory)
- Master’s degree in stats, applied math, or related discipline (Preferred)
- Professional Certifications in Data Science and ML ( Azure, AWS, AutoML Platforms) (Preferred)
- Minimum of 2+ years of experience applying Machine Learning techniques
Key Requirements (Work Experience)
- 2+ years’ experience with data mining and statistical analysis techniques(in R, Python), data processing, database programming and data analytics
- Experienced in End-to-End Machine Learning workflow which includes activities like Data Collection, Feature Engineering and Data transformation, Model training and deploying models in production
- Experience in designing and developing ML algorithms ( Kernel Method, Ensemble Method, Semi- Supervised, Reinforcement Learning)
- Experience in Deep Learning techniques using frameworks like Tensorflow, Keras, etc.
- Mathematical derivation and optimization of algorithms
- Experienced in Data Visualization Tools (e.g., Qlik, Tableau, SAP BusinessObjects and Power BI)
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modeling skills
- Experience in AutoML Platforms including DataRobot and Dataiku and Matlab is preferred
- Experinced in ML Ops and CI/CD Pipeline development and execution
Mandatory/Preferred Language Skills:
Mandatory:
- Machine Learning – Statistical computer languages (R, Python, SQL, etc.) , familiarity with Scala and Java is an asset
- ML Libraries and Frameworks – like Tensorflow,PyTorch, Keras, Scikit Learn, MLLib
- Experience with Excel, python programming languages
Experience in Cloud ML Platforms and Python Data frameworks
Essential Duties and Responsibilities:
- Participate and contriute towards data strategy, identify and integrate new datasets and work closely with the engineering team to strategize and execute end-to-end AI projects
- Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
- Data mining and statistical analysis techniques(in R, Python and Java), data processing, database programming and data analytics
- Design and develop ML algorithms (such as Bayes’sche Methods, Kernel Method, Ensemble Method, Semi- Supervised, Reinforcement Learning)
- Drive End-to-End Machine Learning workflow which includes activities like Data Collection, Feature Engineering and Data transformation, Model training and deploying models in production
- Monitor Model performance , accuracy and other key features to enable robust model management
- Devise and utilize machine learning algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Analyze data for trends and patterns, and Interpret data with a clear objective in mind
- Implement analytical models into production by collaborating with software developers and machine learning engineers.
- Participation in customer requirement workshops, consultation, discussion with OEMs, coordination with customer / Bosch team for work package execution
- Support User Acceptance testing, Go-Live, Post Go-live as needed for the work packages
- Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
BE / B.Tech / MCA
Additional Information
Good to have skiils
- Experience with Tableau, SQL, and other data science programming languages
- Experience in Cloud ML Platforms – Azure ML, AWS Kinesis and GCP Vertex AI
- Data frameworks – Hadoop
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