Talent.com
Head of Artificial Intelligence

Head of Artificial Intelligence

DexianPune
4 days ago
Job description

Job Description :

Key Responsibilities :

  • Define and own the companys AI vision, roadmap, and long-term strategy. Lead end-to-end AI initiatives from ideation to implementation and scaling.
  • Drive the adoption of AI technologies across business units to enhance operational efficiency and customer experience.
  • Stay ahead of AI trends, emerging technologies, and industry best practices to ensure continuous innovation.
  • Oversee architecture, design, and deployment of AI / ML, deep learning, NLP, GenAI, and computer vision solutions.
  • Ensure development of scalable, secure, and production-grade AI systems.
  • Review technical designs, code, and architecture to ensure high-quality standards.
  • Guide teams in model selection, experimentation frameworks, MLOps, and performance optimization.
  • Lead, mentor, and grow a high-performing team of ML Engineers, Data Scientists, MLOps Engineers, and AI Researchers.
  • Build a culture of innovation, experimentation, and accountability within the AI team.
  • Manage resource planning, competency development, and project execution.
  • Work closely with Product, Engineering, Data, Cloud, and Business teams to ensure alignment of AI initiatives with organizational objectives.
  • Translate complex AI capabilities into business use cases and measurable outcomes.
  • Provide thought leadership to executive stakeholders, influencing data-driven decisions.
  • Establish AI governance frameworks, ethical AI guidelines, and responsible AI best practices.
  • Ensure compliance with privacy, security, and regulatory requirements (GDPR, HIPAA, etc.).
  • Oversee model monitoring, drift detection, retraining pipelines, and audit processes.
  • Drive research initiatives in LLMs, agentic AI, reinforcement learning, multimodal models, and emerging AI technologies.
  • Lead POCs and experimentation to evaluate feasibility of new AI use cases.

Qualifications & Skills :

  • 12- 15 years of overall experience with at least 8+ years in AI / ML leadership roles.
  • Advanced proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and LLM technologies.
  • Expertise in designing and scaling AI systems on cloud platforms (AWS, Azure, GCP).
  • Strong understanding of MLOps, CI / CD for ML, data pipelines, and model lifecycle management.
  • Experience building AI products, recommendation engines, predictive models, GenAI applications, and intelligent automation solutions.
  • Deep understanding of data engineering, distributed computing, and big data technologies (Spark, Kafka, Databricks).
  • Exceptional communication, stakeholder management, and strategic leadership skills.
  • Strong problem-solving mindset with the ability to convert business challenges into AI opportunities.
  • Preferred Qualifications :

  • Masters or PhD in Computer Science, AI / ML, Data Science, or related field.
  • Experience working in product-based or large-scale enterprise environments. Publications, patents, or open-source contributions in AI / ML.
  • (ref : hirist.tech)

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