Bosch

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 28,200+ 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 :

Education and Work Experience Requirements:

• 5 to 8 years of experience as Data Science Architect
• 2 to 3 years of experience in Generative AI solution development
• Proven track record and experience with with GenAI technologies

o Open source LLMs like Llama, Gemma, Mixtral etc

o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc

o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)

o Understanding of SLMs such as Phi3,QWEN, BERT and Transformer architecture

o Vector databases like Pinecone, Qdrant etc.

• Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model
• Expertise with the following scripting languages:

o Python, R, Tensorflow, Keras, Pytorch

o OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs

• Design and implement end-to-end Generative AI solutions, ensuring seamless integration with enterprise applications and workflows.
• Lead technical evaluations and POCs (Proof of Concepts) to assess new AI models, frameworks, and vector databases for RAG solutions.
• Develop scalable indexing and retrieval strategies to optimize search and generation performance in large-scale AI systems.
• Implement hybrid search techniques, including dense and sparse retrieval, for enhanced information retrieval accuracy.
• Define and enforce architectural standards, coding best practices, and performance benchmarks for RAG-based applications.
• Collaborate with business leaders to identify AI-driven opportunities and develop strategic roadmaps for AI product evolution.
• Drive the adoption of domain-specific AI solutions by tailoring RAG architectures to industry-specific requirements.
• Establish feedback loops and model monitoring mechanisms to ensure continuous improvement of AI-generated outputs.
• Utilize MLOps best practices to automate model deployment, monitoring, and retraining pipelines for Generative AI solutions.
• Optimize knowledge graphs and vector embeddings to enhance contextual awareness in Graph RAG implementations.
• Develop strategies for handling long-context retrieval and efficient chunking mechanisms for better AI response quality.
• Leverage fine-tuning and reinforcement learning with human feedback (RLHF) to improve generative AI model performance.
• Explore and integrate federated learning techniques to enable privacy-preserving AI model training and inference.
• Conduct AI ethics assessments and bias mitigation strategies to ensure responsible AI development and deployment.
• Engage with open-source AI communities and contribute to research publications or technical blogs on RAG advancements.
• Participate in technical panels, conferences, and industry events to showcase AI expertise and thought leadership.
• Support sales and pre-sales teams by providing technical guidance, solution demonstrations, and AI-driven business value assessments.
• Establish AI Centers of Excellence (CoE) within the organization to drive innovation, knowledge sharing, and AI capability building.
• Ensure compliance with enterprise security policies, data governance regulations, and responsible AI guidelines.
• Develop multi-modal AI capabilities that integrate NLP, Computer Vision, and Speech Recognition for advanced generative applications.
• Prior experience working on Mobility, Manufacturing or Healthcare domain will be a plus.

Mandatory Skills:

• Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.
• Strong understanding of LLMs, and asso

Qualifications

Educational qualification:

BE/BTech or MCA

Experience : 10-15 years

Mandatory/requires Skills : AI

Preferred Skills :

Additional Information