We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions.
This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.
What youll do:
Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency.
Expand training and testing data, leveraging both hand-crafted and automated examples.
Address challenges in AI architecture scalability and reliability.
Stay at the forefront of GenAI advancements and best practices.
Requirements: Youll do It using:
Currently pursuing a masters degree in computer science, Data Science, or equivalent, with at least 2 semesters left to graduation.
Pursuing thesis in AI \ GenAI fields.
Accomplished relevant courses such as NLP, Machine Learning, Deep Learning, and Information Retrieval, with GPA of 90 and above.
Familiarity with RAG pipelines, embedding models, vector databases, and retrieval optimization.
Proficiency in Python or an equivalent.
Familiarity with AI tools, frameworks, and ML concepts.
Advantages:
Completed courses in Prompt Engineering / LLMs.
Hands-on experience in AI through internships, projects, or research.
Familiar with GenAI Agents.
Experience with cloud platforms (AWS, Google Cloud, Azure).
You'll excel by:
Strong communication and collaboration skills.
Having a commitment to thinking like an owner and taking initiative.
Being a motivated self-learner and driving innovation and excellence in your work.
Being creative and adaptable in your problem-solving skills.
This position is open to all candidates.