The impact that you will be making
- Solve complex business problems of the global retail industry through Artificial Intelligence, especially leveraging Deep Learning, Unsupervised & Semi-supervised, and Reinforcement Learning techniques.
- Build product-specific AI roadmaps, design and develop new algorithms, and integrate these algorithms into the relevant product offerings.
- Lead/co-lead the entire Machine Learning life-cycle for one or more products - experimentation, proof-of-concept, model development, testing, deployment and monitoring.
- Solve non-routine, challenging Machine Learning problems, often on sparse or incomplete data sets. Define evaluation strategies to measure the performance of complex AI systems.
- Systematic study of the latest research and industry developments in AI. Envisage next-generation challenges, and proactively recommend solutions to solve them.
- Facilitate the IP generation process in the company, and works towards patenting key inventions.
What lands you in this role
- 5 to 8 years of hand-on experience in at least two of the following AI areas:
- Machine Learning/Deep Learning,
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- AI Planning & Scheduling
- Strong expertise in complex pattern recognition through ML frameworks like PyTorch, TensorFlow/Keras, etc.
- Experienced in end-to-end development and productionization of large-scale AI solutions, including a strong understanding of MLOps/ModelOps.
- Strong communication skills, including the ability to explain advanced technical concepts, ideas and solutions to both technical and non-technical collaborators.
- (Preferred) Strong knowledge of evolutionary/genetic Algorithms, dynamic programming, combinatorial optimization, etc.
- (Preferred) Track record of publishing/presenting technical papers in reputed journals/conferences, filing patents, etc.
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