Job description
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.
More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
- Mission-Driven: We focus on creating economic and social impact.
- People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
- Innovative: We embrace change and find better ways to do things together.
- Globally Connected: We foster collaboration between diverse cultures and perspectives.
If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
Role Summary
We are seeking a highly-skilled and experienced MLOps Engineer to join our team with demonstrable experience in designing and building scalable machine learning systems.
As a valued member of the team at CloudFactory, you will play a crucial role in developing and implementing cutting-edge software solutions that enhance our machine learning and core business capabilities. You will work closely with cross-functional teams to design and build ML pipelines to support automation, reliability, and scalability of our computer vision models in a production setting.
If you are enthusiastic about the opportunity to make a difference in the world while working alongside talented individuals from developing nations, then CloudFactory is the perfect fit for you.
In this role, you would have a high degree of autonomy and be responsible for designing and implementing new core MLOps components, as well as optimizing or improving upon existing ML operations such as model training, inferencing, or high throughput batch jobs. Further responsibilities would include developing CI/CD pipelines to automate model testing, deployment, and monitoring. You would collaborate closely with ML engineers and be able to communicate complex issues clearly to stakeholders from the tech, product, or business teams.
Competencies Requirements
- Degree in applied mathematics, statistics, computer science, physics, engineering, a quantitative or computation field. MS or PhD preferred
- 3+ years building ML infrastructure in production environments
- Fluent in Python and writing production ready code
- Experience with docker/kubernetes
- Knowledgeable about cloud platforms such as GCP or AWS
- Experience using CI/CD platforms to automate build, test, and deployment pipelines
- Familiar with a variety of machine learning techniques and their real-world advantages/drawbacks
Extras that would be great to have
- Experience working in computer vision
- Proficiency with ML scaling frameworks such as Ray
Experience with ML model orchestration tools such as Flyte
Outline the benefits our company offers to employees relevant to this job’s location.
- Competitive Compensation
- Work from Home. We are 100% distributed
- Community service opportunities
- High growth, globally scaling company culture
- A mission you can stand by!
- Room for growth! We prefer to promote from within than hire from without
- Medical, dental, and vision care
- Life, accident, and disability insurance
- 401(k) retirement savings plan
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!
