Head of Artificial Intelligence

2 days ago

Gurugram, India Weekday AI Full time

This role is for one of the Weekday's clients Min Experience: 8 years Location: Gurugram JobType: full-time As the Head of AI, you will be responsible for establishing the organisation’s AI vision, guiding the development of scalable AI/ML models, and ensuring the successful deployment of advanced data-driven solutions. You will collaborate with cross-functional teams—including engineering, product, data, and business leaders—to identify high-impact AI opportunities, define success metrics, and deliver AI systems that enhance customer experiences, operational excellence, and business growth. Requirements Key Responsibilities AI Strategy & Leadership - Define and execute the organisation’s end-to-end AI and machine learning strategy, aligned with business priorities. - Lead and mentor AI/ML teams, fostering a culture of innovation, experimentation, and continuous learning. - Translate emerging AI research and market trends into actionable strategic initiatives. AI/ML Model Development - Oversee research, design, development, and optimisation of machine learning and deep learning models. - Drive end-to-end lifecycle of AI solutions—from problem definition and data acquisition to model training, validation, deployment, and monitoring. - Ensure models are scalable, robust, explainable, and aligned with ethical AI practices. Technical Excellence - Architect and develop cutting-edge AI systems by leveraging modern ML frameworks, distributed training methods, and MLOps tools. - Establish best practices for model governance, reproducibility, experimentation, and performance monitoring. - Partner closely with engineering teams to integrate AI capabilities into production systems efficiently and securely. Cross-Functional Collaboration - Work with product and business stakeholders to identify AI use-cases, define requirements, and prioritise initiatives based on impact. - Communicate complex AI concepts in simple terms to non-technical stakeholders and senior leadership. - Collaborate with data engineering teams to ensure high-quality data pipelines, feature stores, and model-serving infrastructure. Innovation & Continuous Improvement - Stay updated on global AI advancements, emerging technologies, and regulatory considerations. - Build frameworks to evaluate new AI tools, LLMs, and automation opportunities. - Promote responsible AI practices, ensuring fairness, transparency, and compliance. Requirements - 8–12 years of hands-on experience in Artificial Intelligence, Machine Learning, and applied data science. - Proven experience leading AI/ML teams and delivering production-grade AI solutions at scale. - Strong expertise in ML algorithms, deep learning, NLP, computer vision, reinforcement learning, and generative AI technologies. - Proficiency with modern ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn), cloud platforms (AWS/GCP/Azure), and MLOps tools. - Strong understanding of data architecture, distributed systems, and model operationalisation. - Excellent leadership, communication, and stakeholder management skills. - Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field; PhD preferred.

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