AI LEAD

Remote AI Lead position.

We are looking for an AI Lead with 10-12 years of overall experience and a minimum of 2+ years of relevant experience in an AI Lead or equivalent leadership role. The candidate must be passionate about building scalable, production‑grade AI systems and driving AI‑led business transformation.

• Define and own the end‑to‑end AI strategy, roadmap, and execution across products and platforms.
• Lead design, development, and deployment of AI/ML and GenAI solutions in production environments.
• Translate complex business problems into scalable AI architectures and data‑driven solutions.
• Oversee the full AI lifecycle including data preparation, model training, validation, deployment, monitoring, and optimization.
• Drive adoption of GenAI, LLMs, predictive analytics, and intelligent automation.
• Collaborate with product, engineering, cloud, and business stakeholders to align AI initiatives with enterprise goals.
• Establish AI best practices, coding standards, MLOps pipelines, and governance frameworks.
• Mentor, guide, and grow high‑performing AI engineers, ML engineers, and data scientists.
• Monitor model performance, accuracy, cost, bias, and reliability in production systems.
• Ensure responsible, ethical, and compliant use of AI technologies.

• Overall AI / ML
  
  Experience:
  
  Minimum 7+ years in applied AI, machine learning, or data science.
• AI Leadership: Minimum 2+ years leading AI/ML teams, architecture, or enterprise AI initiatives.
• Programming: Minimum 6+ years strong hands‑on experience with Python for AI/ML development.
• ML Frameworks: Minimum 5+ years experience with Tensor Flow, PyTorch, Scikit‑learn, or equivalent.
• GenAI & LLMs: Minimum 3+ years experience with LLMs, prompt engineering, fine‑tuning, RAG pipelines, or AI agents.
• Deep Learning: Minimum 4+ years experience in NLP, computer vision, or advanced deep learning models.
• Data Engineering & Feature Engineering: Minimum 5+ years handling structured and unstructured data, feature pipelines, and transformations.
• Cloud AI Platforms: Minimum 4+ years deploying AI solutions on Azure (preferred), AWS, or GCP.
• MLOps & Production AI: Minimum 3+ years experience with model lifecycle management, CI/CD for AI, monitoring, and drift detection.
• Model Deployment: Minimum 4+ years experience deploying models via APIs, microservices, containers, or cloud‑native systems.
• Data Science Fundamentals: Strong expertise (minimum 6+ years) in statistics, probability, model evaluation, and optimization.
• AI Governance & Responsible AI: Minimum 2+ years understanding of explainability, bias mitigation, and AI governance.

• Excellent verbal and written communication skills with the ability to clearly articulate complex AI concepts.
• Strong problem‑solving and analytical thinking abilities.
• Ability to collaborate effectively with cross‑functional teams including product managers, engineers, cloud teams, and business stakeholders.
• Strong ownership mindset and accountability in delivering AI outcomes end to end.
• Proven experience mentoring, coaching, and leading AI and data teams.
• Strong stakeholder management and decision‑influencing skills.

• Experience working with enterprise‑scale AI platforms and large data ecosystems.
• Familiarity with Responsible AI, compliance, and regulatory frameworks.
• Domain experience in BFSI, Healthcare, Retail, or Real Estate.
• Experience with vector databases and knowledge graphs.
• Exposure to real‑time or streaming AI use cases.
• Experience in fast‑growing, innovation‑driven organizations.
• Ability to balance research, experimentation, and delivery.
• Strong strategic thinking and leadership presence.
• Passion for building AI solutions with measurable business impact.

• Strategic Leadership Role:
  Lead critical initiatives shaping AI‑powered products across sectors.
• Innovation‑Driven Culture:
  Access to cutting‑edge tools, technologies, and leadership.
• Career Acceleration:
  Clear pathway to become Solution Architect or Engineering Manager.
• Global Projects:
  Work on high‑impact projects for clients in India, the USA, and UAE.
• Comprehensive Compensation:
  Attractive salary package, equity options, leadership bonuses, and top‑tier benefits.