Machine Learning Engineer - MLOps

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Why Should You Join Us?

At ASW, we believe in our people, in teamwork and the importance of your personal growth. If you are looking for the opportunity to join our award-winning international family with over 16,800 O+O stores across 30 markets in Asia and Europe, the ASW family welcomes you…

Role Purpose :

We are looking for a Machine Learning Engineer to join our Ai Lab to develop scalable and maintainable data-driven solutions. The primary focus of the role is to productionalize machine learning models. You will be working closely with our Data Architects, Engineers and Data Scientist to build end-to-end ML applications and scale the solution to different countries.

A typical day in this Role :

Solve real-world business problems by designing and implementing reliable and scalable AI pipelines and systems that deliver impactful solutions

Develop production-grade machine learning and generative AI projects that follow best engineering practices, prioritizing maintainability and flexibility

Ensure AI solutions are robust, production-ready, and optimized for performance and reliability

Monitor and enhance the performance of AI products, including optimizing data pipelines, model training workflows, inference processes, and API integrations

Work closely with data scientists, data engineers, system architects, and product manager to translate technical requirements into innovative machine learning solutions

Collaborate with system architects to design and develop next-generation machine learning platforms

Foster an engineering mindset, promote best practices, and advocate for data-driven decision-making across the organization

This job is a good fit for You if :

You are a COMPETITOR. You are comfortable with taking calculated risks and you have a laser focus on achieving results.

You are a PROBLEM SOLVER. You make decisions based on evidence-based opinions.

You are an INNOVATOR. You will not be constrained by the past, instead viewing challenges as opportunities to change direction and explore what's ‘new and different’.

You are an EXPERT. You have in-depth knowledge of a key area and seek possible solutions through study and research.

Success will depend on :

Academic Background in Computer Science, Data Science, Machine Learning or related fields.

Work experience as a Machine Learning Engineer, Python Developer or DevOps Engineer.

Proficient in Python, Spark and packages such as Pandas, NumPy, PyTorch, sklearn.

Proficient in Python code packaging and software testing tools such as setuptools, unitest, pytest, etc.

Proficient in containerization, CI / CD and team collaboration using git workflows.

Experience in Python API frameworks as Flask, FastAPI.

Experience in optimizing performance of data / model pipelines written in SQL, PySpark or Python.

Experience in monitoring system and model health using tools such as Grafana, ELK, MLFlow, ClearML.

Experience with MLOps (e.g. ML model monitoring, logging, versioning, etc.)

Knowledge in LLM and Vector Database deployment, evaluation, versioning and monitoring.

Self-starter who can work with minimal supervision and meet deadlines.