GenAI with Automotive Experts

KPIT Technologies Ltd.; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

KPIT Technologies Ltd. in Pune invites an experienced Multimodal GenAI Architect / AI-ML Engineer to design, train, and test cutting-edge AI systems that fuse text, image, audio, and video inputs.

You will adapt GenAI architectures, optimize models for production, and collaborate across automotive and mobility programs with OEMs and Tier-1s. Strong deep learning, PyTorch, and MLOps familiarity are valued.

Qualifications

• Strong foundation in deep learning, LLM integration, and AI/ML programming frameworks (Pytrorch).
• Hands-on experience fine-tuning foundation models.
• Experience with multimodal model architectures (e.g., vision-language models, audio-text fusion).
• Solid understanding of model evaluation, testing, and production deployment practices.

Responsibilities

• Develop Multimodal Architectures: Design, train, and test AI models capable of processing, understanding, and fusing inputs from multiple modalities (text, image, audio, video).
• Data Pipeline Design: Build scalable pipelines for data collection, temporal alignment, and normalization across modalities.
• Model Optimization: Improve performance, latency, and contextual accuracy of multimodal models in production environments.
• Architecture Modification: Adapt and fine-tune existing GenAI/foundation model architectures to meet specific application requirements.

Skills

genai

ai/ml

Deep learning

LLM Integration

Pytrorch

Tools

Pytrorch

Job description

Automotive background expeerince, Multimodal GenAI Architect / AI-ML Engineer

We're looking for an engineer who can adapt and extend GenAI architectures — training and testing modifications tailored to specific use cases and applications.

Key Responsibilities:

• Develop Multimodal Architectures: Design, train, and test AI models capable of processing, understanding, and fusing inputs from multiple modalities (text, image, audio, video, etc.).
• Data Pipeline Design: Build scalable pipelines for data collection, temporal alignment, and normalization across modalities.
• Model Optimization: Improve performance, latency, and contextual accuracy of multimodal models in production environments.
• Architecture Modification: Adapt and fine-tune existing GenAI/foundation model architectures to meet specific application requirements.

Required Skills:

• Strong foundation in deep learning, LLM integration, and AI/ML programming frameworks (PyTorch).
• Hands-on experience fine-tuning foundation models.
• Experience with multimodal model architectures (e.g., vision-language models, audio-text fusion).
• Solid understanding of model evaluation, testing, and production deployment practices.

Nice to Have:

• Experience with distributed training / large-scale model training.
• Familiarity with MLOps tools for pipeline automation and model monitoring.

ESSENTIAL SKILLS /COMPETENCIES

• genai
• ai/ml
• Deep learning
• LLM Integration
• Pytrorch

PREFFERED SKILLS /COMPETENCIES

• Develop Multimodal Architectures
• Familiarity with MLOps tools

We are Automobelievers!

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