As a Cognyter, you will:

📍Lead and mentor a team of data scientists and machine learning engineers. 📍 Define the technical vision and strategy for leveraging large language models (LLMs) and advanced ML techniques to enhance our product. 📍Collaborate cross-functionally with development, product, and architecture teams to deliver high-quality solutions. 📍 Ensure team adoption of best practices in research, experimentation, and engineering, including reproducibility, scalability, and model governance. 📍Contribute hands-on when needed, designing experiments, writing reusable code, evaluating models, and interpreting results. 📍 Take an active leadership role in agile processes, design reviews, brainstorming sessions, and knowledge-sharing forums.

Requirements

To succeed in this role, you will need: 📍 An M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related field. 📍4+ years of hands-on experience building and deploying ML solutions. 📍 2+ years of proven leadership experience managing and growing high-performing data science or ML teams. 📍 Strong expertise in Large Language Models (LLMs) and Generative AI. 📍 Deep experience with ML pipelines, including training, tuning, deployment, monitoring, and model versioning. 📍 Knowledge of optimization techniques such as quantization, pruning, and performance tuning. 📍 Familiarity with GenAI tools and frameworks: LangChain, RAG, vector databases, transformers, vLLM. 📍Excellent communication skills with the ability to influence, inspire, and align stakeholders. 📍 A team player who is responsible, detail-oriented, and delivery-focused.

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