AI/ML -Python Developer

  • Full-time
  • Legal Entity: Bosch Global Software Technologies Private Limited

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 27,000+ 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

Roles & Responsibilities :

AI Solution Design: Identify and implement frameworks and tools for AI and Generative AI (GenAI) solutions, emphasizing RAG-based techniques.

  • Implementation: Develop specific use cases and modules within the GenAI technology stack, ensuring seamless integration with operational data stored in PostgreSQL.

  • Code Quality Assurance: Conduct system design and code reviews to ensure adherence to quality guidelines and standards throughout the software engineering lifecycle.

  • Software Development Lifecycle: Demonstrate proficiency in SDLC and agile methodologies to manage projects effectively.

  • Microservices and REST APIs: Apply microservices principles to design and develop RESTful APIs, ensuring scalability and maintainability.

  • Testing and Security: Write unit test cases and produce production-ready code that is free from security vulnerabilities and linting issues.

  • Scalability: Ensure that the developed code is production-ready and can scale efficiently without bottlenecks.

  • Research and Innovation: Stay updated with the latest AI research papers and innovations to build agentic workflows and drive continuous improvement.

  • Collaboration: Work with team members to derive overall solution architecture requirements and ensure compliance with intellectual property and open-source regulations.

Qualifications

Educational qualification:

  • Educational Background: Bachelor's degree (BE/BTech) in Computer Science, Information Technology, or a related field.

  • AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.

  • GenAI Experience: Hands-on experience with GenAI foundation models and vector databases, leveraging foundational AI models for advanced capabilities.

Experience :

  • Microservices Architecture: Familiarity with microservices principles and experience in developing RESTful APIs.

  • Security Awareness: Knowledge of writing secure code, addressing linting issues, and ensuring compliance with security standards.

  • Scalability: Experience in developing production-ready code that can scale efficiently without bottlenecks.

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Mandatory/requires Skills :
AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.

  • GenAI Experience: Hands-on experience with GenAI foundation models and vector databases, leveraging foundational AI models for advanced capabilities.

  • Orchestration Tools: Proficiency in using orchestration tools like Semantic Kernel and Langchain for efficient AI model management.

  • Software Engineering Skills: Solid understanding of software engineering principles, including writing clean, maintainable code and conducting thorough testing.

  • Innovation: Ability to read and comprehend the latest research papers, applying insights to innovate and build agentic workflows.

Preferred Skills :

Additional Information

  • Sound knowledge of Generative AI technology stack

  • Identification of frameworks and tools for AI / Gen AI solution design

  • Implementation of specific use cases / modules under GenAI technology stack

  • System design and code review to assure quality guidelines and standard are followed acroos software engineering lifecycle.

  • Sound knowledge of SDLC, agile methodology.

  • Preferred (not mandatory) to have experience in automotive domain.

  • Working with other team members to derive overall solution architecture requirements.

  • Sensitive to IP and open-source regulations and enable team to comply.

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