Senior ML Ops Engineer

We don’t think about job roles in a traditional way. We are anti-silo. Anti-career stagnation. Anti-conventional. 

Beyond ONE is a digital services provider radically reshaping the personalised digital ecosystems of consumers in high growth markets around the world. We’re building a digital services aggregator platform, with a strong telco foundation, and a profitable growth strategy that empowers users to drive their own experience—subscribe once, source from many, and only pay for what you actually use. 

Since being founded in 2021, we’ve acquired Virgin Mobile MEA, Friendi Mobile MEA and Virgin Mobile LATAM (with 6.5 million subscribers) and 1600 dedicated  colleagues across Chile, Colombia, KSA, Kuwait, Mexico, Oman and UAE. 

To disrupt for good takes a rebellious spirit, a questioning mind and a warm heart. We really care about how to get things done and not who manages who. We benefit from our diversity, and together, we disrupt the way we and others thinkin about our lives for good.  

Do you want to exchange ideas, learn from each other and leave your mark on our journey? This is the place for you. 

Role Purpose

● Why this role matters: As a key contributor to our AI/ML transformation, you will play a crucial role in industrializing our machine learning initiatives across digital and telco domains. Your work will enable the seamless deployment of models built by data scientists, create scalable MLOps infrastructure, and help drive real business impact from our AI solutions.

● What success looks like: In your first year, you will deploy production-grade ML models, establish and own robust MLOps pipelines, accelerate the time-to-production cycle, and implement monitoring systems to detect and address model drift. Your success will be measured by business adoption, technical reliability, and speed of delivery.

● Why this is for you: If you're excited about creating AI infrastructure from the ground up, enjoy working cross-functionally with data scientists and platform teams, and want to shape the future of intelligent products in a greenfield environment, this is your opportunity. You'll be part of a collaborative team making innovation real in fast-moving business contexts.

Key Responsibilities

In this role, you will:

● Collaborate closely with data scientists to productionize machine learning models, ensuring scalability, reliability, and performance in real-world environments. 
● Ensure continuous availability and integrity of data required for training, testing, and serving ML models.
● Monitor and maintain ML infrastructure, proactively identifying and addressing issues related to deployment, system health, and model performance.
● Work cross-functionally with the data engineering and platform teams to align infrastructure and deployment standards.
● Contribute to the automation of model training, testing, and deployment workflows to accelerate the machine learning life cycle.

Qualifications & Attributes

We’re seeking someone who embodies the following:

• Bachelor’s degree in Computer Science or a related technical field.
• 5+ years of experience in data or ML engineering, with proven work in the MLOps domain. 
• Experience collaborating with both data scientists and data engineers is essential.

Technical Skills: 

• Must-haves: Strong proficiency in Python, experience with MLflow for model tracking and management, Airflow for orchestration, and Docker for containerization and environment consistency.
• Nice-to-haves: Familiarity with CI/CD tools, Kubernetes, or cloud-based ML and data pipelines is a plus.

Unique Attributes: 

• Strong willingness to collaborate across diverse technical teams.
• Thrives in building systems in a greenfield environment with evolving requirements.
• Exhibits ownership mindset and a pragmatic approach to delivering scalable ML infrastructure.

What we offer:

• Rapid learning opportunities - we enable learning through flexible career paths, exposure to challenging & meaningful work that will help build and strengthen your expertise.
• Hybrid work environment - flexibility to work from home 2 days a week.
• Healthcare and other local benefits offered in market.

By submitting your application, you acknowledge and consent to the use of Greenhouse & BrightHire during the recruitment process. This may include the storage and processing of your data on servers located outside your country of residence. For further information, please contact us at dataprivacy@beyond.one.