AI Team Lead

Overview

Requirements

Key Responsibilities

• Lead the AI team in designing, developing, and delivering enterprise AI solutions
• Manage AI projects from requirement gathering to production deployment
• Translate business needs into technical AI solution designs and implementation plans
• Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision
• Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization
• Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement
• Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools
• Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions
• Define AI architecture, integration patterns, APIs, microservices, and deployment strategies
• Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready
• Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams
• Manage task allocation, technical reviews, project milestones, risks, and delivery timelines
• Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance
• Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments
• Ensure AI solutions comply with security, privacy, governance, and responsible AI principles
• Mentor and coach AI engineers, ML engineers, data scientists, and junior team members
• Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms

Required Skills & Qualifications

• Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields
• Minimum 2-3 years of experience leading AI teams or managing AI solution delivery
• Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field
• Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science
• Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation
• Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex
• Experience in building and deploying ML/DL models for real-world enterprise use cases
• Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection
• Experience with data preparation, data quality assessment, fe