Head of AI

4 days ago

Gurgaon, Haryana, India Weekday AI Full time US$ 15,00,000 - US$ 45,00,000 per year

This role is for one of the Weekday's clients

Min Experience: 7 years

Location: Gurugram

JobType: full-time

We are seeking an innovative and highly driven Head of AI to lead our Artificial Intelligence vision, strategy, and execution. This is a key leadership position responsible for building and managing a high-performing AI and Data Science organization, conceptualizing advanced AI-driven products, and accelerating our transformation into an AI-first company. The ideal candidate is a hands-on expert in Data Science, Machine Learning, Artificial Intelligence, and Large Language Models (LLMs) with proven experience deploying scalable AI systems in production environments.

Requirements
Key Responsibilities
  • Develop and drive the organization's end-to-end AI strategy aligned with long-term business goals and product roadmap.
  • Lead, mentor, and scale a multidisciplinary team of AI/ML engineers, data scientists, and research professionals.
  • Design and implement enterprise-grade Machine Learning, Deep Learning, and NLP/LLM solutions that deliver measurable business value.
  • Build production-ready AI models, pipelines, experimentation platforms, and evaluation frameworks.
  • Oversee the full lifecycle of model development—from problem definition, data acquisition, feature engineering, training, optimization, testing, deployment, and monitoring.
  • Lead innovation around Large Language Models, generative AI, retrieval-augmented generation (RAG), fine-tuning, and prompt engineering to develop next-generation intelligent capabilities.
  • Collaborate closely with engineering, product, analytics, and business leadership to identify automation opportunities and AI-driven product enhancements.
  • Set standards for model governance, performance, security, scalability, and responsible AI usage.
  • Stay ahead of emerging AI research, technologies, frameworks, and industry best practices to maintain competitive advantage.
  • Manage budgeting, vendor relationships, partnerships, and academic or research collaborations.
  • Drive a culture of continuous learning, experimentation, and excellence within the team.
Required Skills & Qualifications
  • 7–14 years of professional experience in Data Science, AI/ML, or related disciplines, including leadership of technical teams.
  • Deep expertise in supervised and unsupervised ML, deep learning architectures, statistical modeling, time-series, clustering, reinforcement learning, and AI research methodologies.
  • Strong hands-on experience with LLMs and generative AI (GPT, Claude, Llama, Mistral, etc.) including fine-tuning, model alignment, RAG pipelines, embeddings, model evaluation, and vector databases.
  • Proficiency in Python, ML frameworks (TensorFlow, PyTorch, JAX), and modern ML Ops pipelines and tooling.
  • Strong understanding of large-scale data processing frameworks (Spark, Hadoop), SQL/NoSQL databases, cloud platforms (AWS/Azure/GCP), and containerization technologies.
  • Experience building AI-enabled products end-to-end and deploying models into production environments.
  • Strong analytical mindset with excellent problem-solving, leadership, communication, and stakeholder management skills.
  • Proven track record of driving impact, making data-driven decisions, and working in high-growth / fast-paced environments.
  • Master's or PhD preferred in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related quantitative field.

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