This job is now closed
Job Description
- Req#: REF217735B
- 10+ years
- Will be responsible for leading architecture, design and implementation of
- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
- Authoritative experience in the field of Data Science to influence stake holders across varied work streams and geographical locations, ability to challenge the status quo to improve the base line models and the models which are already productionized.
- Experience in machine learning, 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 building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
- Experience with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
- Experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
- Strong implementation experience with Python, and familiarity with Linux/Unix/Shell environments
- Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data using distributed computing platform
- Experience with Hive / Spark / Teradata and NOSQL databases
- Experience in using code versioning tools like GIT, bit bucket; building CI/CD pipelines for ML projects
- Experience in productionizing ML models in any of the cloud platforms - AWS/GCP/Azure
- Good to have experience in building automated/semi-automated model retraining pipelines.
- Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments.
- Candidates with prior publications in the field of Data Science are highly preferred.
- Tech savvy and willing to work with open-Source Tools
- Willingness to learn IoT, Edge AI and keep up to date with technologies
- Good to have previous whitepaper submissions and IP filings
Company Description
Bosch Global Software Technologies 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 22,700 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.
Job Description
Job Description
of experience working with large data sets or do large scale quantitative analysis
AI/ML / NLP / Computer Vision and MLOps solutions across team of Data Scientists, Data Engineers, ML Engineers, Cloud, Analytics, DevOps and Visualization teams
Qualifications
BE, BTech, MTech, MS
Additional Information
10+ years of experience working with large data sets or do large scale quantitative analysis
About the company
The Bosch Group is a leading global supplier of technology and services. It employs roughly 395,000 associates worldwide (as of April 22nd, 2021). The company generated sales of 71.5 billion euros in 2020. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The Bosch Group is a leading global supplier of technology and services.
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.