Director of AI/ML Engineering (EDA & Semiconductor Design)
INR 2400K-6000K (estimate) Executive-level Full Time
Tasks
- Align with enterprise AI governance frameworks
- Build data collection labeling and pipeline management frameworks
- Collaborate with EDA design architecture and platform teams
- Define AI ML strategy for engineering software and design flows
- Define KPIs for productivity quality and ROI
- Deploy AI driven solutions across frontend and backend semiconductor workflows
- Drive continuous innovation and adoption of emerging AI ML technologies
- Establish scalable AI ML platforms and agentic architectures
- Integrate AI into engineering toolchains end to end
- Partner with external vendors for AI integrations
- Train fine tune validate and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Cloud Platforms | Compute Infrastructure | Data Pipelines | Data labeling | Distributed Systems | Embeddings | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Physical Optimization | Place and route | PyTorch | Retrieval-Augmented Generation | Software Architecture | TensorFlow | Timing closure | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering
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