Data Scientist - KPO/Retail

Responsibilities

- Design and implement domain-specific generative AI models.

- Research, apply, and extend state-of-the-art AI techniques to solve real-world problems.

- Collaborate with other scientists, researchers, and engineers to integrate AI models into our products and services.

- Perform statistical analyses and tune AI models for optimal performance.

- Publish technical reports on research findings and contribute to professional publications.

- Be part of strategic decisions regarding the company's AI projects and innovations.

- Maintain a detailed understanding of current advancements in AI and machine learning technologies.

Skills and Qualifications

- A PhD, master's or bachelor's degree in computer science, Machine Learning, Artificial Intelligence, or a related field. All candidates irrespective of their degree level have to demonstrate a deep hands-on understanding of the area of generative AI, and perform rapid experiments and PoCs to be able to push the state-of-the-art.

- Proven experience in Generative AI, Machine Learning, Deep Learning, or a related field.

- Experience in using multimodal embeddings (text and vision) to build models that can also take images as input or produce a relevant retrieved image in the response along with the text as output.

- Familiarity with AI platforms and understanding of neural networks, along with mastery of programming languages like Python, Java, or C++.

- Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.

- Strong problem-solving skills and the ability to apply research theories into practical applications.

- Excellent written and verbal communication skills.

- Demonstrable record of researching and implementing AI applications.