Aquaticode builds artificial intelligence solutions for aquaculture. Our core competency lies at the intersection of biology and artificial intelligence, utilizing specialized imaging technology to detect, identify, and predict traits of aquatic species. We value commitment and creativity in building real-world solutions that benefit humanity.
We were founded by Nacre Capital, a venture builder focused on AI within the life sciences. Nacre has an impressive track record in creating, building, and growing deep tech startups, including Face.com (acquired by Facebook), Fairtility, FDNA, and Seed-X.
We are seeking an experienced, talented and ambitious AI Engineer with expertise in computer vision and robust development skills to join our team. You will play a key role in designing and implementing cutting-edge machine learning algorithms to solve challenging problems in aquaculture.
Proven track record in developing image/video processing and computer vision solutions

- 8+ years of experience as a machine learning engineer/researcher or in a similar role
- Proficiency with common Python machine learning frameworks (scikit-learn, SciPy, Matplotlib, PyTorch, etc.)
- Strong understanding of data structures, data modeling,



and software architecture
- 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 also encouraged to apply

Design, adapt, and implement machine learning and classical algorithms from proof of concept (POC) to working prototypes
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
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
A track record of publications in top-tier AI conferences or journals
Experience deploying machine learning/AI systems in production environments and tools
Docker, Docker compose, K8s)
Knowledge of databases (SQL, MongoDB) and basic networking or message-passing protocols
Experience with cloud platforms (Google Cloud Platform, AWS, Azure)

📌 Senior AI/ML Specialist (India)
🏢 Nacre Capital
📍 India