Impact Analytics - Architect/Senior Architect - R&D - Artificial Intelligence

R&D Architect/Sr. Architect - Artificial Intelligence

The impact that you will be making:

- Solve complex business problems of the global supply chain & retail industry through Artificial Intelligence, especially through Deep Learning & Reinforcement Learning.

- Build cutting-edge Generative AI solutions (including leveraging external assets like ChatGPT) to efficiently address real-world problems.

- Lead R&D projects for solving critical Operations Research problems through Artificial Intelligence (e.g., Deep Q-Learning).

- Build product-specific AI roadmaps, design and develop new algorithms, and integrate these algorithms into the relevant product offerings.

- Lead the Machine Learning life-cycle for multiple products - experimentation, proof-of-concept, model development, testing, deployment and monitoring.

- Solve non-routine, challenging 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

- Minimum 10 years in Software Engineering & Machine Learning with at least 4 to 6 years in one or more of the following AI areas:

1. Deep Learning,

2. Natural Language Processing

3. Computer Vision

4. Reinforcement Learning

5. 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) Working knowledge of Dynamic Programming.

- (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.