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Enterprise-Level AI Strategist
2 weeks ago
The ideal candidate will have strong expertise in building, fine-tuning, and deploying LLMs for enterprise-grade applications.
- Lead end-to-end development of intelligent, scalable, and secure AI systems.
- Architect and implement GenAI-powered solutions leveraging multimodal AI models.
- Drive innovation in agentic systems, knowledge graphs, and conversational AI.
- Collaborate with cross-functional teams (Data, Cloud, Product, Business) for AI adoption.
- Ensure compliance with ethical AI, privacy, and governance frameworks.
Key Responsibilities:
- Develop and deploy large-scale AI/ML pipelines using cloud platforms.
- Build, fine-tune, and deploy transformer models (GPT, BERT, LLaMA, etc.).
- Contribute to AI/ML best practices, research, and open-source initiatives.
- Mentor and guide junior AI/ML engineers.
Requirements:
- 8+ years of overall experience in AI/ML with 3+ years in Generative AI & LLMs.
- Strong expertise in machine learning, deep learning, NLP, and computer vision.
- Hands-on experience with multimodal AI systems (text, image, speech integration).
- Cloud expertise in AWS, Azure, or GCP AI/ML services.
- Familiarity with RAG (Retrieval-Augmented Generation) and fine-tuning pipelines.
- Knowledge of data engineering concepts and ETL pipelines.
- Understanding of AI ethics, fairness, privacy, and governance.
- Strong problem-solving, leadership, and communication skills.
- Contributions to open-source AI projects are highly desirable.