PUNE · FULLTIME
GenAI with Automotive Experts
Kpit Technologies
Pune · onsite · Posted 12d ago
Sourced from
Undisclosed5–9 yrsfulltimePune
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Section · 01
About this role
Automotive background expeerince, Multimodal GenAI Architect / AI-ML Engineer
Were 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.
Were 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Automationmodel evaluationModel Monitoringml engineerlanguage modelsai modelsMLOpsAutomotivepipeline designProgrammingLarge Language Models (LLMs)deploymentProduction DeploymentData CollectionArchitectureDeep LearningArtificial IntelligenceMachine Learning
Section · Company
About KPIT Technologies
Kpit Technologies
Software Product
9.4k+
employees
1990
36 years old
Pune, Maharashtra
India
About
KPIT is a leading independent software development and integration partner helping mobility leapfrog towards a clean, smart, and safe future.
Industries
Software ProductAnalytics & KPOIT Services & Consulting
Employee ratings
3,801 reviews
2.8/ 5
Culture
2.7
Career growth
2.4
Work-life
2.8
Employees rate it well for
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