About Mindvalley:
Mindvalley is the leading and most promising ed-tech company to date. We dominate the US market for Personal Growth Education. We are empowering athletes within every major US sports team and promoting successful learning strategies in major companies.
We're currently on a mission to build the most advanced and complete learning experience to enable personal growth and development for all our amazing customers. We innovate tools that induce enlightenment within every aspect of human life. We are seeking the best engineers to build the best and most advanced education platform our species has seen. The goal to mark our success is: to power up to 100 countries, powering every Fortune 500 company, and progressing humanity towards a better future.
About the Role:
As a Machine Learning Engineer (MLOps), you will play an active part in bringing Mindvalley to the next level, understanding the educational experience through data, and ensuring a personalized learning experience for our customers/students.
In this role, you will be responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI production platforms.
Responsibilities:
- Assisting data scientists in deploying the ML models into the production environment
- Developing highly scalable machine learning models, operationalized the ML models
- Oversee machine learning operations, model deployment, model performance tracking and implement optimized machine learning solutions to real-world, large-scale problems that have a direct impact on the business
- Handle machine learning operations and collaboration with data engineers, DevOps engineers, product managers, and technical partner teams
- Builds trust through automated processes, testing, and validation that creates a repeatable process for managing machine learning in dynamic environments
- Optimization of machine learning products with professional software engineering skills
Skills:
- Ready to handle stakeholders' needs and requests
- Knowledge of professional MLOps best practices for the full model development life cycle, including coding standards, code reviews, model versioning, model registration, model monitoring source control management, build processes, testing, and operations
- Experience in building and deploying machine learning solutions on GCP Services (e.g., Kubeflow, Vertex AI)
- Experience with cloud platforms (GCP), Docker and Kubernetes
- Experience in the development and implementation of ready-to-use CI/CD pipelines
- Experience building and maintaining data pipelines using Google GCP services
- Experience with monitoring and orchestration of data pipelines using Apache Airflow and GCP Composer
- You are excellent in communication, teamwork, and also independent contributions
- You have strong attention to detail and flexibility in adapting to fast changes
Mindvalley is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, gender identity or expression, national origin, age, disability, marital status, sexual orientation, or any other legally protected status. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals.
