AI Head / Data Scientist

Role & responsibilities

Strategic Leadership

• Define and execute the companys AI vision, roadmap, and technology strategy.
• Partner with clients to identify AI opportunities through discovery workshops and business diagnostics.
• Translate client business goals into end-to-end AI architectures and implementation plans.
• Lead cross-functional teams in delivering scalable AI solutions across industries.

Technical Delivery

• Oversee the entire AI project lifecycle from conceptualization, proof of concept (POC), and prototyping to full-scale deployment.
• Evaluate and integrate emerging AI technologies including Generative AI, LLMs, and Cognitive Automation.
• Design and implement data-driven solutions leveraging ML models, NLP systems, and predictive analytics.
• Ensure MLOps best practices for model deployment, monitoring, and continuous improvement.

Innovation & Research

• Drive R&D initiatives to enhance AI capabilities and IP development.
• Build partnerships with technology providers, research institutes, and AI communities.
• Stay ahead of AI trends and assess their impact on business transformation.

Leadership & Governance

• Lead, mentor, and scale the AI & Data Science teams.
• Establish AI ethics, governance, and data security frameworks.
• Represent the company in client discussions, conferences, and global AI forums.

Required Skills & Experience

• Bachelors / Master’s / Ph.D. in Computer Science, AI, Data Science, or related field.
• 12–18 years of experience in technology leadership, with 8+ years in AI/ML.
• Proven track record in:
• End-to-end AI implementation across multiple clients.
• Building and managing AI practices or CoEs (Centers of Excellence).
• Leveraging AI tools: TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.
• Cloud AI platforms: AWS SageMaker, Azure AI, GCP Vertex AI.
• Strong consulting acumen — able to convert AI strategy into measurable client impact.
• Excellent leadership, communication, and stakeholder management skills.

Interested applicants can also share their CV's on monika.dubey@marketresearchfuture.com

Preferred candidate profile

Preferred

• Experience working with global clients in consulting or product environments.
• Exposure to Generative AI, LLMs, and multi-agent systems.
• Patents, research publications, or open-source AI contributions.

Key Deliverables

• Build and lead an AI Center of Excellence (CoE).
• Deliver measurable business value through AI implementation projects.
• Develop reusable AI frameworks and accelerators for client use.

Establish long-term AI partnerships with enterprise clients