GenAI / AI-ML Experts

KPIT Technologies Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

KPIT Technologies Ltd. in Bengaluru, India, is seeking an engineer who can adapt and extend GenAI architectures—training and testing modifications tailored to specific use cases and applications. You will design, train, and test multimodal AI models, build scalable data pipelines, and optimize performance for production, while adapting foundation models to meet client needs. Immediate joiners with 3–5 years experience preferred.

Qualifications

• Proficiency in AI/ML and modern DL frameworks.
• Experience with GenAI and LLM integration.
• Hands-on PyTorch programming experience.
• Strong MLops practices for production deployment.
• Ability to fine-tune and evaluate GenAI models.

Responsibilities

• Design, train, and test multimodal AI models integrating text, image, audio, and video.
• Build scalable data pipelines for cross-modality data collection and normalization.
• Optimize model performance, latency, and contextual accuracy in production.
• Adapt existing GenAI architectures to meet specific applications.

Skills

AI/ML

GenAI

LLM Integration

Pytorch

MLops

Job description

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.

Experience: 3–5 years Employment Type: Full-Time Availability: Immediate joiners"

Requirement

ESSENTIAL SKILLS /COMPETENCIES

• Ai/ml
• GenAI
• LLM Integration
• Pytorch
• MLops

PREFFERED SKILLS /COMPETENCIES

• Deep learning
• LLM integration
• and AI/ML programming frameworks (PyTorch)
• audio-text fusion)
• testing
• and production deployment practices.&

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