Website:
synstacktech.com
Job details:
Impact & Opportunities
• Global Influence: Drive AI strategy that sets industry benchmarks.
• Commercialization: Take AI products from research prototypes to market-ready solutions at scale.
• Elite Team Building: Recruit and mentor top-tier talent from leading AI labs and research institutions.
• Thought Leadership: Represent the organization at global AI conferences, research forums, and strategic partnerships.
Key Responsibilities
1. AI Strategy & Vision
• Define and execute a long-term AI roadmap aligned with business transformation and global expansion.
• Champion Generative AI, LLMs, and advanced ML for high-value enterprise applications.
• Establish frameworks for ethical AI, bias mitigation, and compliance.
2. Architecture & Innovation
• Architect a scalable AI ecosystem, including LLMOps/MLOps pipelines and secure enterprise integration.
• Lead development and fine-tuning of proprietary LLMs, multimodal models, and retrieval-augmented systems.
• Ensure robust data governance and architecture for AI-driven insights.
3. Delivery & Scaling
• Proven track record of delivery: Drive rapid prototyping and transition to production-grade deployments with measurable business impact.
• Scale AI COE: Build and expand the AI TIC to support multiple enterprise initiatives simultaneously.
• Implement CI/CD for ML, automated monitoring, and performance optimization using ONNX, DeepSpeed, and similar frameworks.
• Proven technology transfer from research to products
4. Leadership & Cross-Functional Collaboration
• Build and scale high-performing teams of AI researchers, engineers, and ML Ops professionals.
• Foster a culture of innovation, velocity, and technical excellence.
• Collaborate with product, engineering, and business leaders to embed AI into core workflows.
• Research team leadership experience (15-30 people)
Qualifications & Experience
• Education: Master’s/Ph.D. from a top-tier institute (IIT, IISc, MIT, Stanford, etc.) in Computer Science, AI, or related field.
• Research publications in top-tier AI conferences/journals such as NeruralIPS, ICLR, ICML, AAAI, and CVPR with demonstrated leadership in publishing top-tier research in LLMs, multimodal models or related areas.
• Patents filed / granted with commercial impact is desired.
• Experience: 12–15+ years in technology leadership, with 5+ years in AI/ML and Generative AI.
• Proven success in:
o Building and scaling AI teams and COEs
o Commercializing AI products from research to market
o Delivering enterprise-grade AI solutions with measurable impact
• Deep expertise in LLMs, Generative AI, NLP, Computer Vision, and modern AI frameworks (PyTorch, TensorFlow, Hugging Face).
• Hands-on experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP AI).
• Strong understanding of MLOps/LLMOps, CI/CD for ML, and security in AI systems.
• Exceptional communication and executive presence.
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