AI Architect - LLM expertise

• Design, develop, and deploy advanced AI models to meet business requirements
• Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
• Evaluate model performance, fine-tune, and ensure scalability and reliability
• Research emerging AI/ML technologies and propose innovative solutions
• Mentor junior AI engineers and review code/models for best practices
• Identify bottlenecks in model performance and propose solutions
• Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
• Troubleshoot deployment or integration challenges proactively
• Analyze data patterns and model outputs to derive insights
• Apply structured thinking to optimize AI workflows and pipelines
• Present complex model results in a concise and actionable manner
• Collaborate effectively with cross-functional teams
• Provide constructive feedback and mentor junior team members
• Provides regular updates, proactive and due diligent to carry out responsibilities
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure Dev Ops

Skills & Experience

• 6–10 years of experience in AI/ML/Deep Learning model development
• 2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
• 3-5 years of experience deploying AI solutions in production environments
• 5+ years of experience in Python, PyTorch, Tensor Flow, or similar frameworks
• 3-5 years of experience designing, training, and fine-tuning large language models or AI models
• 5 years of experience in cloud AI platforms (AWS Sage Maker, Azure ML, GCP AI)
• 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
• 5 years of experience in integrating AI models into applications via APIs or pipelines
• Advanced LLM techniques, prompt engineering, and fine-tuning strategies
• AI ethics, fairness, and Responsible AI deployment
• Continuous learning on emerging AI frameworks and architectures
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
• Advanced coursework or certifications in Machine Learning, Deep Learning, or NLP
• Strong mathematical and statistical foundation

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