Own the design, development, evaluation and deployment of highly-scalable machine learning based products.

• Maintain quality of the AI and ML predictions with real-time evaluation.
• Be a bridge between product development Machine Learning engineers and the product stakeholders.
• Formulate the machine learning and AI solutions for diverse use-cases (finance, IoT, healthcare / wellness, image / audio / video processing).
• Mentor the team with hands-on knowledge and wisdom of ML and AI tools / algorithms.

KNOWLEDGE AND SKILL REQUIREMENTS:

• Proven track record of managing AI-centric product teams in a fast-paced environment.
• Ability to handle multiple projects at once.
• Mastery of Python and relevant ML packages (PyTorch, TensorFlow, Keras, Sklean)
• Proven track record of research work (journal publications, patents) in ML and AI.
• Proven experience of platform-level development for large-scale ML / AI systems. In-depth knowledge and hands on experience of classical ML and deep learning algorithms.
• Excellent mathematical skills and background e.g. significance tests, advanced probability concepts, mathematical optimization.
• Knowledge and experience of building systems with distributed frameworks (Hadoop, Spark) and cloud environments (Amazon, Google Compute Engine, Microsoft Azure).