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.
- Collaborate with cross-functional teams, including automation developers and business analysts, to understand the requirements of Intelligent Automation projects and identify areas where Machine Learning can be leveraged.Design and develop machine learning models and algorithms tailored to the specific needs, ensuring scalability, accuracy, and reliability.Implement and maintain ML pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment.Perform data analysis and identify relevant data sources to extract valuable insights for enhancing automation workflows.Conduct thorough testing and validation of ML models to ensure their robustness and accuracy in real-world scenarios.Monitor and optimize ML models’ performance, making necessary adjustments and improvements as needed.Document all ML-related processes, code, and project details comprehensively for future reference and knowledge sharing.Be the go-to expert for all Python-related automation development, including automation infrastructure, ensuring its smooth functioning, performance optimization, and security.
• Bachelor’s or Master’s degree in Engineering (Preferred: Computer Science, Data Science, Machine Learning, or a related field.)
• Proven work experience as a Machine Learning Specialist or a similar role, with 6-8 years of relevant industry experience.
• Strong proficiency in Python programming and its associated libraries for Machine Learning, such as NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience in designing and implementing machine learning models for various applications, with a focus on natural language processing (NLP), computer vision, or predictive analytics.
• Solid understanding of ML algorithms, statistical concepts, and data evaluation techniques.
• Familiarity with RPA technologies and the ability to integrate ML solutions seamlessly into existing RPA workflows.
• Strong problem-solving skills, attention to detail, and the ability to work independently or as part of a team.
• Excellent communication skills, both verbal and written, to effectively convey technical concepts to non-technical stakeholders.
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