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As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
Job Responsibility:
Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals
Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production
Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide
Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems
Interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions
Keep abreast of the latest developments in machine learning and AI
Participate in code reviews, share knowledge, and set an example with high-quality engineering practices
Requirements:
0-2 years of industry experience in applied machine learning or related AI work
BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field
hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG)
solid understanding of how large language models are architected and operated
personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow
strong foundation in data structures, algorithms, and software engineering principles
excellent problem-solving and analytical skills, with a proactive approach to challenges
can work collaboratively with cross-functional teams
thrive in fast-paced environments where priorities or deadlines may compete
eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done