Overview
Number8 is seeking qualified candidates to fill the role of Machine Learning Operations Engineer.
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer:
Flexible schedules and authentic work-life balance
Opportunities for continuing education
Social activities per country sponsored by the company
Birthday celebration
Payment in US Dollars
About the role:
Our client a startup dedicated to wellness and health. Their app is tailored to both businesses and individuals invested in their health and well-being.
As a MLOps Engineer, you will be instrumental in designing and implementing the infrastructure required to support our machine learning systems. You will focus on ensuring the reliability, scalability, and efficiency of our ML models and data pipelines within our Azure cloud environment. The ideal candidate will have a strong background in machine learning operations, infrastructure, and automation, with a passion for integrating sophisticated ML models into our health solutions. You will work closely with our ML engineers, data engineers, and product teams to deploy real-time models at scale and build systems to support advanced use cases.
Main responsibilities
Design and implement robust data pipelines and engineering infrastructure to support machine learning systems at scale
Develop and deploy scalable tools and services to handle machine learning training and inference
Build and maintain systems for the ML development lifecycle, continuous training, real-time feature stores, and model deployment
Ensure reproducibility, versioning, and data quality throughout the ML lifecycle
Collaborate with ML engineers and data engineers to optimize the performance and scalability of our ML models
Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems
Communicate with stakeholders to build requirements and track progress
Implement monitoring and alerting systems to ensure the reliability and performance of deployed models
Job Skills/Requirements
- +90% English written and oral (at least B2 level) with excellent communication skills
- 3+ years of experience as a Platform Engineer, ML DevOps Engineer, or Data Engineer, with a focus on machine learning operations
- Strong programming skills in Python and experience with orchestration tools such as Airflow and MLflow
- Experience with Azure cloud technologies, including Azure Machine Learning, Azure Databricks, and other relevant services
- Proficiency in managing and optimizing big data storage and data warehouse solutions
- Strong understanding of machine learning methodologies and best practices
- Excellent problem-solving skills and the ability to work in a dynamic and agile environment
- Ability to take business requests and break them down into manageable steps to achieve a goal
- Capable of designing a moderately sized software project, putting together a project plan to accomplish it, tracking progress, and executing it with a team
- Able to see the big picture of how systems interact with one another
Apply today to learn more about this exciting opportunity. We are actively interviewing now for this position.
