AI Architect

Company Description

Bosch Global Software Technologies Private Limited is a wholly-owned subsidiary of Robert Bosch GmbH, a leading global supplier of technology and services, providing comprehensive Engineering, IT, and Business Solutions. With over 22,700 employees, it's the largest software development center of Bosch outside Germany, suggesting it's Bosch's Technology Powerhouse in India with a global footprint with presence in the US, Europe, and the Asia Pacific region.

Job Description

Job Description

• 10+ years of experience working with large data sets or extensive scale quantitative analysis
• Will be accountable for leading architecture, design and execution of AI/ML / NLP / Computer Vision and solutions across a team of Data Scientists, Data Engineers, ML Engineers, Cloud, Analytics, DevOps and Visualization teams
• Experience in scrutinizing complex problems and transforming them into data science algorithms with consideration for computational efficiency and testing at scale.
• Authoritative experience in the Data Science field to influence stakeholders across diverse workflows and geographical locations, with the ability to challenge the status quo to better the base line models and the models already in production.
• Experience in machine learning, both supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Search Algorithms, Deep Learning Algorithms.
• Experience in using MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines for constructing, deploying, and controlling multipart ML workflows based on Docker containers and Kubernetes.
• Experience with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
• Exposure to deep learning methods and modeling frameworks (, Tensorflow, Keras, etc.)
• Experience in frameworks that illustrate interpretability of models using libraries like Lime, Shap etc.
• Experience working with big data - identifying trends, patterns, and outliers in vast volumes of data.
• Strong practical experience with Python, and familiarity with Linux/Unix/Shell environments
• Strong practical skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using the distributed computing platform
• Experience with Hive / Spark / Teradata and NOSQL databases
• Experience in using code versioning tools like GIT, Bitbucket; building CI/CD pipelines for ML projects
• Experience in making ML models production-ready in any of the cloud platforms - AWS/GCP/Azure
• Good to have experience in creating automated/semi-automated model retraining pipelines.
• Excellent verbal, visual and written communication skills to teach and collaborate with cross-functional teams on controlled experiments.
• Candidates with previous publications in the Data Science field are highly preferred.
• Technologically proficient and willing to work with Open-Source Tools
• Willingness to learn IoT, Edge AI and stay up to date with technologies
• Good to have previous whitepaper submissions and IP filings

Qualifications

Qualifications

• BE, BTech, MTech, MS

Additional Information

Additional information

Good to have 

• Whitepaper submissions and IP filings