SENIOR MACHINE LEARNING LEADER [L839]

Bebeeengineering


We are seeking a seasoned Senior Machine Learning & LLM Engineer to lead and guide the development of innovative machine learning models and large language models (LLMs). The ideal candidate will possess advanced expertise in Python and ML frameworks, as well as strong knowledge of NLP and LLM technologies. Responsibilities include designing, developing, and optimizing machine learning models and LLMs for various applications, leading and mentoring a team of developers, and collaborating with cross-functional teams to define, design, and implement AI-driven solutions. Additional requirements include staying current with the latest advancements in ML, NLP, and AI technologies, ensuring model scalability, performance, and security through rigorous testing and optimization, and demonstrating ability to lead technical teams and communicate complex concepts effectively. As a mid-senior level full-time Information Technology role, this position offers flexible hours, paid parental leaves, vacations, and national holidays, as well as opportunities for skill development and diverse growth. Key skills include data preprocessing, feature engineering, and model optimization, solid experience with code reviews, CI/CD processes, and scalable AI systems, and advanced level of English. - Design, develop, and optimize machine learning models and LLMs for various applications. - Lead and mentor a team of developers, fostering innovation and best practices. - Collaborate with cross-functional teams to define, design, and implement AI-driven solutions. - Perform in-depth data analysis and preprocessing, ensuring high data quality for model training. - Stay current with the latest advancements in ML, NLP, and AI technologies. - Ensure model scalability, performance, and security through rigorous testing and optimization. Requirements - 4+ years of experience in machine learning, AI, or related fields. - Advanced expertise in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Strong knowledge of NLP and LLM technologies. - Proven track record in data preprocessing, feature engineering, and model optimization. - Solid experience with code reviews, CI/CD processes, and scalable AI systems. - Demonstrated ability to lead technical teams and communicate complex concepts effectively. - Advanced level of English. Benefits - 100% remote work (from anywhere). - Flexible hours: create your own schedule. - Paid parental leaves, vacations, and national holidays. - Hardware and software setup for you to work from home. - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

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