Machine Learning Engineer

Innovasea | Aquatic Solutions Built for Life Ready to join a passionate team committed to a more sustainable future? Innovasea (pronounced In-no-va-see) is at the forefront of revolutionizing aquaculture solutions and advancing the science of fish tracking. We provide complete end-to-end solutions to improve sustainable fish farming and better understand and preserve our marine and freshwater habitats.

When you work at Innovasea, you join a group of over 275 employees committed to our values of authenticity, collaboration, commitment, innovation and stewardship. As a member of the team, you’ll have the opportunity to be part of an organization relentlessly committed to building a better tomorrow. About the role We are seeking a versatile Machine Learning Engineer to help build and scale our AI/ML initiatives from the ground up.

In this role, you won't just be handed clean datasets to train models in a vacuum; you will own the entire lifecycle. You will design custom computer vision architectures, build the robust AWS cloud infrastructure to support them, and develop the full-stack interfaces that deliver actionable insights to end-users. If you are passionate about applying AI to real-world physical challenges - such as environmental sustainability and monitoring - and love the satisfaction of taking a model from a raw TensorFlow graph all the way to a production web application, this role is for you.

What you’ll be doing Computer Vision Engineering: Train, fine-tune, and deploy custom object detection and classification models. Pipeline Architecture: Design efficient edge-to-cloud ingestion pipelines optimized for periodic camera view monitoring (processing high-res image refreshes on a 5-minute basis, rather than handling continuous live video streams). AWS Cloud Infrastructure: Build and maintain scalable, automated MLOps pipelines using AWS services (SageMaker, S3, Lambda, ECS/EKS, API Gateway) managed via Infrastructure as Code (Terraform or CDK).

Full-Stack Development: Develop robust backend APIs (FastAPI/Node.js) and intuitive frontend dashboards (React/Vue) to serve model inferences, manage internal data annotation workflows, and display real-time performance metrics. Data Wrangling & Debugging: Master complex data transformations and dimensional debugging - if an array's shape needs to be (3,3,2) instead of (3,2), you know exactly how to reshape and validate it without breaking the pipeline. What We’re Looking For Experience: 5+ years in software engineering, with at least 3 years dedicated to machine learning and computer vision in a production environment.

ML Frameworks: Deep expertise in Python and major deep learning frameworks (TensorFlow, PyTorch). Cloud Native: Proven track record of deploying and orchestrating ML models on AWS, including managing CI/CD pipelines, model registries, and handling data drift. Systems Thinker: Ability to balance algorithmic complexity with cloud compute costs, network bandwidth limits, and system latency.

Full-Stack Proficiency: Comfort working across the stack, from writing SQL queries and optimizing database performance to tweaking UI components for end-user applications. Credentials: A Master's or Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field is preferred. P.Eng or PMP certifications are a strong asset for managing complex technical project delivery.

Our full-time employees enjoy a range of benefits that support work-life balance, health, and long-term success. This includes: Paid time off and holidays Employee Assistance Program Paid parental leave Innovasea is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. #J-18808-Ljbffr