AI/ML -Python Developer at Bosch Group

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Proficiency, Natural Language Processing, GenAI Experience, Microservices Architecture, RESTful APIs, Security Awareness, Scalability, Orchestration Tools, Software Engineering Skills, Innovation

Industry

Software Development

Description

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. 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.

Responsibilities

The role involves designing AI solutions and implementing frameworks for AI and Generative AI, focusing on RAG-based techniques. Additionally, the developer will ensure code quality through reviews and testing while collaborating with team members on solution architecture.