Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Focus: Model Optimization, Fine-Tuning & Strategic AI
You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. . You define technical standards, lead high-impact AI initiatives, and advise C-level leaders.
Key Responsibilities:
- Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.
- Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.
- State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.
- Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.
- Thought Leadership: Present thought leadership in industry forums.
Technical Requirements:
- Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.
- Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).
- Advanced Data: Training data curation, synthetic data generation, RLHF concepts.
- Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.
Soft Skills:
- Executive communication and ability to influence Clevel leaders.
- Thought leadership and industry presence (conferences, playbooks, forums).
- Crossorg leadership and conflict resolution.
- Ability to define longterm AI vision and cultural standards.
- Strategic decisionmaking balancing cost, risk, and performance.
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