Senior AI Engineer

Posted 27 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Software
The Role
Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.
Summary Generated by Built In

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.

Skills Required

  • 8+ years of experience as a machine learning engineer, researcher, or in a similar role
  • Proven experience developing image or video processing and computer vision solutions
  • Proficiency with Python machine learning frameworks, including scikit-learn, SciPy, Matplotlib, or PyTorch
  • 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
  • BSc degree with equivalent industrial experience
  • Publications in top-tier AI conferences or journals
  • Experience deploying machine learning or AI systems in production
  • Experience with CUDA, ONNX, or TensorRT inference optimization
  • Experience with Docker, Docker Compose, or Kubernetes
  • Knowledge of SQL, MongoDB, networking, or message-passing protocols
  • Experience with Google Cloud Platform, AWS, or Azure
  • Proficiency with DVC, MLflow, Metaflow, or Databricks
  • Familiarity with Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, or similar CI/CD tools
  • Ability to visit aquaculture sites when needed
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The Company
HQ: Barcelona
31 Employees

What We Do

Nacre Capital is a global venture builder specialized in creating, building and growing disruptive start-ups with deep technologies that significantly impact lives. We are an international team of entrepreneurs, business leaders and experts including – pioneering scientists, renowned technologists, researchers, growth experts and thought leaders – that together develop and transform ventures into world-class disruptive market-leading companies. We bring onboard the best entrepreneurs and talent to imagine and create new ventures from scratch and work together to successfully transform novel ideas into fast-growing, market-leading companies. Our inhouse portfolio of companies solve complex fundamental problems that impact society through real breakthrough innovation employing deep technology.

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