Bosch Group: AI/ML Expert — pune, India

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists AI/ML Expert in pune, India, under reference REF285463L. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 22 July 2026
• Contract type: Unlimited
• Legal Entity: Bosch Global Software Technologies Private Limited
• Brands: Bosch Group

Responsibilities and work described

• Job Description
• Need an individual with a understanding of AI/ML, with a specific focus on applied research and innovation in autonomous systems and conversational AI
• Should be highly proficient in Python and possess extensive hands-on experience in AI agent framework design and development, like utilising LangChain-based APIs
• In-depth, hands-on knowledge of Large Language Models (LLMs) and Small Language Models (SLMs), including a minimum of 1-2 years of specific experience in model fine-tuning
• Key Responsibilities: Drive innovation by developing edge-optimized language models, architecting multi-agent systems, and scripting robust data analysis and model evaluation pipelines
• A academic or industry research track record is highly appreciated, particularly having good papers published in reputed AI/ML conferences
• Problem-solving skills, an analytical mindset, and teamwork skills to thrive in a fast-paced R&D environment

Essential requirements and candidate background

• Must have foundational knowledge of NLP and hands-on experience in the development of sophisticated conversational agents
• Experience: Voice AI is a plus; specific knowledge of handling speech technologies (ASR/STT, TTS, and Intent/Entity extraction) is highly valued for our core work
• Experience: working with Indian languages is a plus
• B
• Tech / M
• Tech

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: pune, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI/ML Expert vacancy is not an offer for reference REF285463L; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF285463L.

Compare your qualifications and experience with the essential conditions for the pune, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• AWS
• Azure
• APIs
• AI/ML
• LLMs
• data analysis
• AI
• embedded systems