Machine Learning Engineer – MLOps

Job title: Machine Learning Engineer – MLOps

Company: AS Watson Retail (HK) Limited


Job description: AS Watson Group, the world’s largest international health and beauty retailer, is operating over 16,900 stores under 12 retail brands in 30 markets, with over 130,000 employees worldwide. For the fiscal year 2023, AS Watson Group recorded revenue of US$23 billion. Every year, we are serving over 5.5 billion shoppers via our O+O (Offline plus Online) technology-enabled platforms.Together with our 12 retail brands including Watsons, Kruidvat, Trekpleister, Superdrug, Savers, Rossmann, Drogas, ICI PARIS XL, The Perfume Shop, PARKnSHOP, FORTRESS and Watson’s Wine, we set O+O (Offline Plus Online) as the new standard for retail. O+O is more about creating an integrated offline and online experience to better serve customers’ needs through digital transformation, that enables them to shop across any channel, anytime, anywhere. Every day, we work towards a clear purpose: To put a Smile on our customers’ faces today and tomorrow.Our success depends on our people staying ahead of the game. We believe that our attitude to teamwork and our encouragement for your personal growth comes shining through everything we do. We also know that our success as an employer isn’t just about influencing you on why you should join our business. It’s about asking you to imagine where it could take you.Come and join a Winning TeamBe remarkable. Be yourself.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 solutionsDevelop production-grade machine learning and generative AI projects that follow best engineering practices, prioritizing maintainability and flexibilityEnsure AI solutions are robust, production-ready, and optimized for performance and reliabilityMonitor and enhance the performance of AI products, including optimizing data pipelines, model training workflows, inference processes, and API integrationsWork closely with data scientists, data engineers, system architects, and product manager to translate technical requirements into innovative machine learning solutionsCollaborate with system architects to design and develop next-generation machine learning platformsFoster an engineering mindset, promote best practices, and advocate for data-driven decision-making across the organizationThis 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.What is holding you back?Don’t miss out on this great chance to shape Your life!Apply now!Interested parties, please send your resume with current and expected salary package to our Company’s email.We are an equal opportunity employer and welcome applications from all qualified candidates. The information provided will be treated in strict confidence and be used only for consideration of your application for relevant/ similar posts within the AS Watson Group.

Expected salary:

Location: Hung Hom, Hong Kong

Job date: Sun, 27 Apr 2025 05:57:01 GMT

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