Company Description

The Bosch Group is a leading global supplier of technology and services, in the areas of Automotive Technology, Industrial Technology, Consumer Goods, Energy and Building Technology.
In India, the Group operates through nine companies with a combined strength of over 30,000 associates which includes around 14,000 research and development associates.
Bosch Automotive Electronics India Pvt. Ltd. (RBAI) is a 100% subsidiary of Robert Bosch GmbH. RBAI was established at the right time to cater to the demands of future Indian market. Established in 2009, started out with manufacturing Electronic Control Units. On an average adding one new product every year, Antenna and Immobilizer in 2011, wide range of BCM's since 2012, Electronic power steering control units from 2013, and Voltage regulator in 2014. Over the last 7 years of its existence, the company has grown over 44% CAGR, which is remarkable considering it was established during the peak of recession.
The product portfolio of Bosch Automotive Electronics Pvt. Ltd. is into both Automotive and Non-Automotive Business catering to local as well as global demands. The products from RBAI fulfils 94% of the local demand. Apart from this, 72% of our sales are towards exports covering most of the global market.
We invite promising and dynamic professionals for a long-term and
rewarding career with Bosch.

Job Description

We are seeking an enthusiastic and skilled AI & GenAI Specialist to design, develop, deploy, and operationalize cutting-edge generative AI applications within our manufacturing ecosystem. The ideal candidate will work across model development, data integration, and chat-based application delivery, leveraging Azure OpenAI and modern ML frameworks to build scalable, high-impact AI solutions.

Key Responsibilities

1. Model Development

• Collaborate with cross-functional teams to understand business requirements and manufacturing data workflows.

• Design, develop, and fine-tune generative AI models, including LLMs and foundation models.

• Implement, integrate, and optimize Azure OpenAI models for natural language understanding and generation.

2. Chat Application Development

• Build chat-based applications powered by LLMs and Azure OpenAI.

• Develop intuitive conversational interfaces for real-time interaction with manufacturing and operational data.

• Ensure high scalability, reliability, and low-latency performance across applications.

3. Data Integration

• Work closely with data engineers to access, preprocess, and structure manufacturing data streams.

• Integrate real-time and historical data feeds into AI applications for dynamic, context-aware responses.

• Evaluate and implement the best data integration approach based on use-case requirements.

4. Model Deployment & Operations

• Deploy generative AI and machine learning models to production environments (on-prem or cloud).

• Continuously monitor model and application performance, detecting anomalies and tuning models as needed.

• Partner with architects, developers, and business stakeholders to ensure smooth deployment, scalability, and operational maintenance.

5. Data Analytics & Machine Learning

• Apply statistical analysis and classical ML techniques to support model development and evaluate outcomes.

• Work with analytics teams to ensure AI solutions complement KPI reporting and insights generation.

Qualifications

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. (2+ years of relevant experience preferred.)

• Strong proficiency in Python, HTML, and ML frameworks such as TensorFlow or PyTorch.

• Hands-on experience with Generative AI models (e.g., GPT-based LLMs) and NLP workflows.

• Familiarity with Azure Cloud, especially Azure Machine Learning and Azure OpenAI services.

• Ability to break down complex problems, think analytically, and work in an agile and collaborative environment.

Additional Information

Why Join Us?

• If you are passionate about applying Generative AI to transform KPI reporting, enhance decision-making, and build next-generation digital capabilities in manufacturing, we’d love to hear from you!