Experience Required: 12+ years overall experience, including 4+ years in AI technologies and Generative AI.
Roles and Responsibilities
1. Solution Design and Architecture
- Architect and design scalable AI solutions that align with business objectives.
- Implement Generative AI models using frameworks like OpenAI, LangChain, TensorFlow, and PyTorch.
- Optimize AI models for performance, scalability, and reliability.
2. Technical Leadership
- Lead cross-functional teams in developing AI-driven applications.
- Mentor development teams on best practices in AI/ML technologies.
3. Stakeholder Collaboration
- Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
- Present technical solutions and recommendations to leadership teams.
4. Innovation and Research
- Stay updated on advancements in AI/ML technologies, particularly Generative AI.
- Drive innovation by experimenting with new tools and techniques.
5.
Project Management
- Oversee the end-to-end lifecycle of AI projects, ensuring timely delivery and quality standards.
- Develop detailed documentation for AI solutions, including architecture diagrams and user manuals.
6. MLOps Implementation
- Deploy AI solutions on cloud platforms (Azure/GCP) with best practices for MLOps.
- Monitor models for continuous improvement and ensure ethical use of AI.
Qualifications
- Technical Expertise:
- Proficiency in Generative AI frameworks (e.g., OpenAI GPT, LangChain, Hugging Face).
- Solid programming skills in Python, TensorFlow, PyTorch.
- Experience with cloud platforms like Azure or Google Cloud for model deployment.
- Experience:
- Minimum of 12 years in IT roles, with at least 4 years focused on AI/ML technologies.
- Hands-on experience in deploying Large Language Models (LLMs) at scale.
- Education:
- Bachelor’s or Master’s degree in Computer Science, Da
📌 AI Solution Architect (Chennai)
🏢 Zuci Systems
📍 Chennai
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