AI ML Architect

REQUIREMENTS

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects; a Ph.D. is highly desirable.
• Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration).
• Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning.
• Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
• Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
• Experience in Data Governance, Model Risk Management, and compliance.
• Extensive knowledge of machine learning theory, algorithms, and methodologies.
• Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization.
• Demonstrated ability to think strategically and drive innovation.

Nice TO Have

• Good undertaking of Software Product Development and how to integrate AI ML components into a software product.
• Experience in working with huge datasets in a production environment.
• Published research in top-tier conferences or journals is a plus.