AI Researcher
Nacre Capital
About UsAquaticode builds artificial intelligence solutions for aquaculture. Our core competencylies at the intersection of biology and artificial intelligence, utilizing specialized imagingtechnology to detect, identify, and predict traits of aquatic species. We valuecommitment and creativity in building real-world solutions that benefit humanity.Position OverviewWe are seeking a talented and ambitious AI Researcher with expertise in computervision and strong development skills to join our team. You will play a key role indesigning and implementing cutting-edge machine learning algorithms to solvechallenging problems in aquaculture.Responsibilities Design, adapt, and implement machine learning and classical algorithms fromproof of concept (POC) to working prototypes. Plan and conduct experiments to address critical business questions. Develop and maintain model testing and statistical verification processes. Implement data processing and training pipelines. Extend existing machine learning and deep learning codebases and frameworks. Thoroughly document POCs and experiments. Plan and lead long-term research activities. Assist in recruiting talent in the field. Stay up-to-date with the latest developments in AI and machine learning.Requirements Proven track record in developing image/video processing and computer visionsolutions. 3+ years of experience as a machine learning engineer/researcher or in a similarrole. Proficiency with common Python machine learning frameworks (scikit-learn,SciPy, Matplotlib, PyTorch, etc.). Strong understanding of data structures, data modeling, and softwarearchitecture. Ability to write clean, robust, and efficient code. Excellent communication and presentation skills in English. MSc or PhD in Computer Science, Engineering, Mathematics, or a related field.Candidates with a BSc degree and equivalent industrial experience are alsoencouraged to apply.Preferred Qualifications A track record of publications in top-tier AI conferences or journals. Experience deploying machine learning/AI systems in production environments. Familiarity with containerization technologies (e.g., Docker). Knowledge of databases (SQL, MongoDB) and basic networking or message-passing protocols. Experience with cloud platforms (Google Cloud Platform, AWS, Azure). Proficiency with MLOps frameworks (DVC, MLflow, Metaflow, Databricks). Familiarity with CI/CD tools (Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, orsimilar).About Nacre CapitalWe were founded by Nacre Capital, a venture builder focused on AI within the lifesciences. Nacre has an impressive track record in creating, building, and growing deeptech startups, including Face.com (acquired by Facebook), Fairtility, FDNA, and Seed-X.
Polska
Tue, 03 Dec 2024 23:54:43 GMT
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