Machine Learning Engineer

4 weeks ago

Kwun Tong District, Hong Kong SAR China AS Watson Full time
Talent Acquisition | HR Business PartneringCome and join a Winning TeamWhy Should You Join Us?At AS Watson, 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 16,000 stores across 28 markets in Asia and Europe, the AS Watson family welcomes you…You can enjoy:Conveniently located in Whampoa, less than 5 min. walk from MTRCozy office with contemporary designComprehensive Medical and Life insurance coverage, including your spouse and childrenRole 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:Knowledge in Computer Science, Statistics, Mathematics, Machine Learning or related fieldsSolid working experience in Machine Engineer, Data Scientist, Python Developer or DevOps EngineerExperience in developing and optimizing end-to-end ML pipelines (from data ingestion to model deployment) and support and maintain product in productionProficient in Python, Spark and packages such as Pandas, NumPy, PyTorch, sklearnProficient in Python code packaging and software testing tools such as setuptools, unitest, pytest, etcProficient in containerization, CI/CD and team collaboration using git workflowsExperience in Python API frameworks as Flask, FastAPIExperience in optimizing performance of data pipelines written in SQL, PySpark or PythonExperience in monitoring system and model health using tools such as Grafana, ELK, MLFlow, ClearMLExperience with MLOps (e.g. ML model monitoring, logging, versioning, etc.)Self-starter who can work with minimal supervision and meet deadlinesWhat is holding you back?Don’t miss out on this great chance to shape Your lifeApply nowInterested parties, please send your resume with current/expected salary package and the team that you apply to opportunities@aswatson.com.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.Seniority level

AssociateEmployment type

Full-timeJob function

Information Technology, Quality Assurance, and ScienceRetail

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