Machine Learning Engineer

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    "description": "<p><span style=\"font-weight: bold\">Machine Learning Engineer | Bedford, NS</span><br></p>\n<p><br></p>\n<p><span>Innovasea | Aquatic Solutions Built for Life</span></p>\n<p><br></p>\n<p><span>Ready to join a passionate team committed to a more sustainable future? </span><span>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.</span></p>\n<p><br></p>\n<p><span>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. </span></p>\n<p><br></p>\n<p><span><span style=\"font-weight: bold\">About the role</span></span><br></p>\n<p><br></p>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p><br></p>\n<p><span><span style=\"font-weight: bold\">What you'll be doing</span></span></p>\n<ul></ul>\n<ul>\n<li><span style=\"font-weight: bold\">Computer Vision Engineering:</span> Train, fine-tune, and deploy custom object detection and classification models.</li>\n<li><span style=\"font-weight: bold\">Pipeline Architecture:</span> 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).</li>\n<li><span style=\"font-weight: bold\">AWS Cloud Infrastructure:</span> 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).</li>\n<li><span style=\"font-weight: bold\">Full-Stack Development:</span> 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.</li>\n<li><span style=\"font-weight: bold\">Data Wrangling &amp; Debugging:</span> 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.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We’re Looking For</span><br></p>\n<ul></ul>\n<ul>\n<li><span style=\"font-weight: bold\">Experience: </span>5+ years in software engineering, with at least 3 years dedicated to machine learning and computer vision in a production environment.</li>\n<li><span style=\"font-weight: bold\">ML Frameworks: </span>Deep expertise in Python and major deep learning frameworks (TensorFlow, PyTorch).</li>\n<li><span style=\"font-weight: bold\">Cloud Native: </span>Proven track record of deploying and orchestrating ML models on AWS, including managing CI/CD pipelines, model registries, and handling data drift.</li>\n<li><span style=\"font-weight: bold\">Systems Thinker: </span>Ability to balance algorithmic complexity with cloud compute costs, network bandwidth limits, and system latency.</li>\n<li><span style=\"font-weight: bold\">Full-Stack Proficiency: </span>Comfort working across the stack, from writing SQL queries and optimizing database performance to tweaking UI components for end-user applications.</li>\n<li><span style=\"font-weight: bold\">Credentials: </span>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.</li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\">Benefits</span></p>\n<p><span>Our full-time employees enjoy a range of benefits that support work-life balance, health, and long-term success. This includes:</span></p>\n<p><span>·       </span><span>Paid time off and holidays</span><br></p>\n<p><span>·       </span><span>Employee Assistance Program</span><br></p>\n<p><span>·       </span><span>Paid parental leave</span><br></p>\n<p><span>·       </span><span>Pension</span><br></p>\n<p><span>·       </span><span>Employer-paid medical, dental, vision</span><br></p>\n<p><span> </span></p>\n<p><span>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.</span></p>",
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