Head of Artificial Intelligence

Position:

Location:

Experience:

Employment Type:

About the Role:

AI Architect

Key Responsibilities:

• Design end-to-end AI architectures including data pipelines, ML/DL models, APIs, and deployment frameworks
• Evaluate AI technologies, frameworks, and platforms to meet business and technical needs
• Collaborate with cross-functional teams to gather requirements and translate them into AI use cases
• Build scalable AI systems with focus on performance, robustness, and cost-efficiency
• Implement MLOps pipelines to streamline model lifecycle
• Ensure AI governance, data privacy, fairness, and explainability across deployments
• Mentor and guide engineering and data science teams

Required Skills:

• Expertise in

  Machine Learning / Deep Learning frameworks

  (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong proficiency in

  Python

  and one or more of: R, Java, Scala
• Deep understanding of

  cloud platforms

  (AWS, Azure, GCP) and tools like

  SageMaker, Bedrock, Vertex AI, Azure ML

• Familiarity with

  MLOps tools

  : MLflow, Kubeflow, Airflow, Docker, Kubernetes
• Solid understanding of

  data architecture

  ,

  APIs

  , and

  microservices

• Knowledge of

  NLP, computer vision, and generative AI

  is a plus
• Excellent communication and leadership skills

Preferred Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, AI, or a related field
• AI/ML certifications (AWS, Azure, Coursera, etc.) are a bonus
• Experience working with LLMs, RAG architectures, or GenAI platforms is a plus