ML Engineer

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

Machine Learning Engineer

About the role

We are looking for a highly skilled Machine Learning Engineer between 1 to 5 years of working experience with strong programming expertise, an ability to analyse and manipulate data and a fundamental understanding of MLOps principles.

In this role, you will be responsible for improving the quality and efficiency of ML products in the demand forecasting space. You will tackle a range of topics required to deliver value from a ML model in a productive environment, including the automated assessment of incoming data-quality, generation of data-insights, model-building and model-evaluation. A key focus will be on Python package development and ensuring integration of outputs into production. You should have an automation mindset, aim for continuous improvement and embrace CICD principles.

What will you do:

Software Engineering & Architecture:

• Write clean, modular, and efficient object-oriented Python code following best practices.

• Develop, maintain, and release internal Python packages for ML operations.

• Design and implement scalable architectures to support ML processes, balancing performance and maintainability.

• Follow Git workflow best practices, implement testing strategies, and ensure long-term code maintainability.

Machine Learning Development:

• Perform statistical data analysis and transformations to quickly create valuable data insights and outputs. 

• Engineer and optimize high-quality features for ML pipelines.

• Apply a strong understanding of machine learning algorithms, especially tree-based models (e.g., LightGBM) to build time-series forecasting models.

• Conduct model evaluation and tuning to improve performance.

MLOps:

• Build and maintain CI/CD pipelines for ML models and Python package releases.

• Design and build scalable data pipelines for  ingestion and transformation while ensuring data quality, consistency, and efficiency.

• Deploy and serve models for batch and real-time inference (FastAPI, Flask).

Infrastructure & Cloud Computing:

• Utilize Docker and Kubernetes to containerize and orchestrate machine learning workloads.

• Understand public cloud computing infrastructure and coordinate with DevOps teams to build robust and scalable products.

Collaboration & Mentorship:

• Work closely with data scientists to integrate ML models into production.

• Contribute to internal ML documentation and knowledge-sharing sessions.

• Conduct code reviews and technical mentorship to other junior engineers.

• Lead best practices in code quality, testing, and ML governance.

What should you have:

• Experience: 2 to 5 years in Machine Learning, Software Engineering, or related fields.

• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, or equivalent.

• Programming: Expert-level proficiency in Python (including Numpy and Pandas), with strong general coding skills.

• CI/CD: Experience with CI/CD tools (GitHub Actions, Azure DevOps).

• MLOps: Good to have Hands-on experience with data pipelines, training/inference, deployment (batch/real-time), model retraining, testing (e.g. unit, regression), and version control.

• Version Control & Collaboration: Exposure/ Experience with Git and Agile methodologies (e.g. Jira / Azure DevOps).

Preferred Qualifications:

• Infrastructure: Experience deploying microservices on public cloud platforms. Exposure/ Experience with Docker.

• Machine Learning Algorithms: Fundamental understanding of various machine learning algorithms, including supervised and unsupervised techniques.

• Time-Series Forecasting: Experience in designing and implementing time-series forecasting models.

• Open-Source Contributions: Experience in developing, maintaining, or contributing to open-source libraries.

• Model Explainability: Hands-on experience with SHAP or LIME for interpretability.

• Model Deployment: Knowledge about deploying models via REST APIs, Flask, or FastAPI.

• Real-Time Machine Learning: Knowledge of low-latency ML systems.

Why Join Us?

• Work on cutting-edge ML problems in a fast-paced environment.

• Opportunity to shape the MLOps ecosystem within the company.

• A global and open culture of innovation, collaboration, and continuous learning.

If you are passionate about building robust, scalable ML solutions and want to be part of a forward-thinking team, we encourage you to apply!

More about us… 

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!