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

Role Summary

We are seeking a Senior AI & Generative AI Specialist to architect, build, and scale production-grade AI and GenAI solutions. The role demands deep hands-on expertise, strong system architecture skills, and the ability to lead cross-functional teams delivering result oriented & compliant AI systems.

This role will own end-to-end AI lifecycle — from problem framing and model design to deployment, monitoring, governance, and business impact — with a strong emphasis on Machine learning, GenAI, LLM fine-tuning, RAG systems, and Responsible AI.

Key Responsibilities

AI & GenAI Architecture

Design and architect enterprise-scale AI and Generative AI systems, including LLM-based applications, RAG pipelines, fine-tuned models, and multimodal AI systems.Lead development of AI platforms and frameworks enabling reusable, scalable AI services (AI-as-a-Service).Define model selection strategies , fine-tuning approaches, and inference optimization.

Machine Learning & Deep Learning

Develop and deploy advanced ML/DL models across:Computer Vision (segmentation, detection, classification)NLP (BERT, GPT, Transformers)Generative AI (Diffusion models, GANs, multimodal systems)Time-series forecasting, predictive analytics, anomaly detectionDrive model optimization, hyperparameter tuning, and performance benchmarking.Ensure model explainability, fairness, bias detection, and mitigation.

GenAI & LLM Systems

Build GenAI applications & Agents including:Intelligent document processingAutomated report generationSmart ticketing and customer escalation systemsKnowledge assistants using RAG + vector databasesImplement prompt engineering, evaluation frameworks, and guardrails.Optimize inference cost, latency, and scalability in cloud environments.

MLOps & Production Deployment

Establish MLOps best practices:CI/CD for MLModel versioning and monitoringAutomated retraining pipelinesDeploy AI services using Docker, Kubernetes, MLflow, FastAPI, Flask.Ensure high availability, low latency, and cloud cost optimization.

Cloud & Big Data

Architect AI workloads on Azure, Databricks, Spark.Build scalable data pipelines for large-scale training and inference.Leverage distributed computing for large datasets and real-time inference.

Leadership & Stakeholder Engagement

Consult and mentor AI engineering and data science teams.Collaborate with the AI working group & international stakeholder community.Translate business and domain problems into AI solutions with measurable impact.Drive innovation initiatives, patents, and hackathon-level experimentation.

 

QualificationsMaster’s degree in Data Science, AI, or related fieldExperience in AI , Agentic AI , Advance data analytics usecases in a manufacturing environmentStrong understanding of AI governance and compliance>8 years of experience in buildup and delivery of AI/ML usecases with proven business benefitsLeadership of AI/ML teams would be an added advantage

 

 

Required Technical Skills

Programming & Frameworks

Python (expert), PyTorch, Keras, PySpark, SQLREST API development: FastAPI, FlaskVersion control & CI/CD: Git, GitHub Actions

AI / ML

Supervised & Unsupervised LearningDeep Learning: CNNs, RNNs, TransformersGenerative AI: LLMs, Diffusion models, GANsReinforcement Learning (applied understanding)

NLP & Computer Vision

BERT, GPT, Text Summarization, NERSpeech-to-Text / Text-to-SpeechImage segmentation, object detection, multimodal AI

Cloud & MLOps

AWS, Azure, Databricks, SparkDocker, Kubernetes, MLflowScalable inference engines

Additional Information

Impact & Success Metrics

Deliver AI systems with measurable business outcomes (efficiency, accuracy, cost reduction).Reduce manual workloads through automation and GenAI adoption.Improve decision-making accuracy using explainable and responsible AI.Scale AI platforms adopted across multiple plants & divisions