We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.
Requirements:
Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.
Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
Foundation: Solid understanding of probability, statistics, and linear algebra.
Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.
Advantages:Previous experience in a technology-driven environment.
Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.
Strong communication skills and the ability to work effectively in a collaborative team setting
Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.
Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
Foundation: Solid understanding of probability, statistics, and linear algebra.
Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.
Advantages:Previous experience in a technology-driven environment.
Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.
Strong communication skills and the ability to work effectively in a collaborative team setting
This position is open to all candidates.
