Head of AI

1 week ago

Gurugram, India Weekday AI Full time

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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