Nacre Capital
via Workable
Senior AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 27d ago
The date the source published, not the day we noticed it (2026-08-19). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 19d ago · last seen 3h ago
The listing
About Us
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.
About Nacre Capital
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.
Position Overview
We are seeking an experienced, talented and ambitious AI Engineer with expertise in computer vision and strong 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.
Requirements
- 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.
- 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 also encouraged to apply.
Responsibilities:
- Design, adapt, and implement machine learning and classical algorithms from proof 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.
Preferred Qualifications:
- A track record of publications in top-tier AI conferences or journals.
- Experience deploying machine learning/AI systems in production environments and tools.
- Familiarity with inference optimizations techniques using CUDA, ONNX, TensorRT etc.
- Familiarity with containerization technologies (e.g. 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).
- Proficiency with MLOps frameworks (DVC, MLflow, Metaflow, Databricks).
- Familiarity with CI/CD tools (Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, or similar).
- Ability to visit Aquaculture sites when needed.