ChiefAIInnovationOfficer

We are seeking a seasoned expert in artificial intelligence to spearhead the development of cutting-edge machine learning, deep learning, and generative AI solutions.

The ideal candidate will have extensive experience in machine learning and deep learning, with a proven track record of deploying AI solutions at scale across multiple domains. They will possess strong expertise in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.

The successful candidate will be responsible for architecting and implementing state-of-the-art generative AI solutions, including LLMs, VLMs, diffusion models, and multimodal systems. They will also oversee the development of scalable ML pipelines, ensuring robustness, reliability, and efficiency.

Additionally, the candidate will provide technical leadership in MLOps, deployment strategies, and governance for AI models across edge and cloud. They will collaborate with executive leadership, product managers, and domain experts to shape AI-driven innovation and evaluate emerging research and technologies in AI/ML.

The ideal candidate will have a deep understanding of distributed systems, model optimization, and high-performance computing for AI workloads. They will also have experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) and responsible AI practices.

We are looking for a global leader who can work across geographies and diverse teams. The candidate should have a strong passion for AI and a desire to drive innovation in this field.

Main Responsibilities:

• Develop and implement large-scale machine learning, deep learning, and generative AI solutions.
• Drive AI strategy in alignment with organizational goals and objectives.
• Architect and implement state-of-the-art generative AI solutions.
• Oversee development of scalable ML pipelines.
• Provide technical leadership in MLOps, deployment strategies, and governance for AI models.
• Evaluate emerging research and technologies in AI/ML.
• Mentor, coach, and grow data scientists, ML engineers, and research teams.

Required Skills & Qualifications:

• Education: Master's/PhD in Computer Science, Data Science, AI/ML, or related field.
• Experience: 10+ years of experience in machine learning and deep learning with at least 3+ years in leadership roles.
• Proven track record in deploying AI solutions at scale across multiple domains.
• Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Hands-on experience with Generative AI models (LLMs, GANs, diffusion models, transformers, VLMs).
• Strong knowledge of model fine-tuning, transfer learning, RAG pipelines, and vector databases.
• Deep understanding of distributed systems, model optimization, and high-performance computing for AI workloads.

PREFERRED SKILLS:

• Experience in Industry 4.0 use cases such as digital twins, predictive maintenance, robotics, and computer vision in industrial environments.
• Familiarity with Agentic AI frameworks, Model Context Protocol (MCP), and knowledge graph-based reasoning.
• Understanding of reinforcement learning, edge AI, and federated learning.