Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
About the role
- ML Engineer developing and implementing cutting-edge software solutions at CloudFactory. Focus on building computer vision products and collaborating with cross-functional teams.
Responsibilities
- Developing and implementing cutting-edge software solutions that enhance machine learning and core business capabilities
- Building models that help humans annotate faster with as little data as possible
- Simplifying the complexities of vision AI for users
- Collaborating closely with ML engineers and communicating complex issues clearly to stakeholders from the tech, product, or business teams
Requirements
- Degree in applied mathematics, statistics, computer science, physics, engineering, a quantitative or computation field. MS or PhD preferred
- 3+ years applying machine learning to practical uses
- Experience working in computer vision
- Fluent in Python and writing production ready code
- Experience with deep learning frameworks such as PyTorch and TensorFlow
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
- End-to-end experience bringing ML models to production or building ML pipelines
- Knowledge of LLMs or generative AI systems, including prompt engineering, fine-tuning, or retrieval-augmented generation (RAG)
- Experience with model optimization techniques
- Experience using Golang
- Comfortable with SQL databases
- Knowledgeable about docker/kubernetes
Benefits
- At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!
- Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.
Lead machine learning engineer developing solutions for Army enterprise AI and ML team. Collaborating with experts to deliver cutting - edge analytics and models for real - world challenges.