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!
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