Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
About the role
- Machine Learning Engineer designing and scaling AI/ML initiatives at Innovasea for sustainable fish farming. Collaborating on computer vision models, AWS infrastructure, and full-stack development.
Responsibilities
- Train, fine-tune, and deploy custom object detection and classification models
- 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)
- 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)
- 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
- 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
Requirements
- 5+ years in software engineering, with at least 3 years dedicated to machine learning and computer vision in a production environment
- Deep expertise in Python and major deep learning frameworks (TensorFlow, PyTorch)
- Proven track record of deploying and orchestrating ML models on AWS, including managing CI/CD pipelines, model registries, and handling data drift
- Ability to balance algorithmic complexity with cloud compute costs, network bandwidth limits, and system latency
- Comfort working across the stack, from writing SQL queries and optimizing database performance to tweaking UI components for end-user applications
- 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
Benefits
- Paid time off and holidays
- Employee Assistance Program
- Paid parental leave
- Pension
- Employer-paid medical, dental, vision
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.