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.
Why this role matters:
As Senior Machine Learning Engineer, you will play a key role in building, deploying, and maintaining advanced ML models that drive real business impact. Your contributions will help shape our AI/ML capabilities and production workflows, and ultimately the way we disrupt the market with intelligent automation and data-driven solutions.
What success looks like:
In your first year, you will launch end-to-end ML solutions from experimentation to production across at least two core business use cases, collaborate cross-functionally to build scalable model pipelines, and establish monitoring frameworks that ensure sustained model performance.
Why this is for you:
If you're keen on solving complex business challenges with cutting-edge ML technology, hit us up. We're looking for someone ready to tackle this challenge head-on and make an impact from day one.
Key Responsibilities
In this role, you will:
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Lead the development and deployment of end-to-end machine learning models, ensuring robust and scalable delivery to production environments.
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Collaborate with data engineers, DevOps, and product teams, driving cross-functional projects that extract business value from data.
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Manage model lifecycle in production, ensuring high performance, reliability, and alignment with evolving business needs.
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Conduct exploratory data analysis to uncover insights and prepare data for modeling.
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Design and run proof-of-concepts to validate ML hypotheses and present measurable outcomes.
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Contribute to model monitoring and maintenance processes, ensuring accuracy and minimizing drift.
Qualifications & Attributes
We’re seeking someone who embodies the following:
Education:
Bachelor’s or higher in Computer Science, Data Science, Engineering, or a related field.
Experience:
5+ years in ML/AI engineering, ideally in data-driven product or service environments.
Technical Skills:
Must-haves:
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Strong Python skills with hands-on experience in libraries such as scikit-learn, TensorFlow, or PyTorch.
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Proficient in SQL for data extraction and analysis.
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Experience deploying ML models using Docker, Kubernetes, and CI/CD pipelines.
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Familiarity with cloud platforms such as AWS, GCP, or Azure.
Nice-to-haves:
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Experience with Generative AI models (LLMs, embeddings, transformers).
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Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI.
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Understanding of data visualization tools such as Streamlit or Dash.
Unique Attributes:
Thrives in fast-paced environments requiring agile experimentation and quick iteration.
Possesses a proactive mindset and the ability to work through ambiguity with minimal direction.
Excels with collaborative, DevOps-integrated ML workflows.
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 [email protected].
