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

Role Summary

We are seeking a Generative AI Systems Engineer to design, evaluate, and optimize Vision-Language Model (VLM) systems for real-world applications.

This role requires a combination of:

- Model understanding
- Experimental rigor
- Systems and production thinking

You will work on benchmarking, fine-tuning, and deploying multimodal models, with a strong emphasis on tradeoff analysis across accuracy, latency, and cost.

Key Responsibilities

Model Evaluation & Benchmarking

- Evaluate pretrained VLMs on domain-specific datasets
- Define and justify appropriate evaluation metrics
- Analyze model behavior, including systematic failure modes

Model Adaptation & Fine-Tuning

- Implement parameter-effective fine-tuning techniques (e.g., LoRA, QLoRA)
- Optimize training under limited data and compute constraints
- Make data-centric and model-centric improvements with clear justification

Experimental Rigor





- Design controlled experiments to compare baseline vs improved models
- Quantify improvements across:
- accuracy
- latency
- cost

- Provide clear, defensible explanations for observed outcomes

System Design & Deployment

- Architect scalable inference pipelines for multimodal models
- Optimize for:
- low latency
- high throughput
- cost efficiency

- Implement serving layers (API/service) with reproducible environments

Data Engineering

- Build pipelines to process and align:
- images
- textual queries
- structured metadata

- Analyze dataset characteristics, including biases and distribution gaps

Qualifications

B.E/B. Tech

Additional Information

- 5–7 years of industry experience in ML/AI systems
- Strong proficiency in Python and ML frameworks (e.g., PyTorch)
- Experience with VLMs, LLMs or any other multimodal models
- Understanding of model evaluation and experimentation practices
- Familiarity with ML system design (inference, scaling, optimization)

Preferred Qualifications

- Experience with Vision-Language Models (e.g., LLaVA, BLIP, Flamingo-style architectures)
- Hands-on experience with parameter-efficient fine-tuning methods
- Knowledge of model optimization techniques:
- quantization
- batching
- caching (e.g., embedding reuse)

- Experience with Docker / containerized deployments
- Exposure to large-scale or real-world datasets

📌 Generative AI Systems Engineer Vision-Language Models (Bengaluru)
🏢 Important Business
📍 Bengaluru