Head of Artificial Intelligence

2 days ago

Gurgaon, Haryana, India Weekday AI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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