Yes4All is one of the leading brands for home sporting goods & furniture in the e-commerce market. Founded in 2010, we have strived to be the world leader in e-commerce enablers in term of trading, product creating and e-commerce servicing. Based in California with an operation office in HCMC, we have more than 500 young and talented members with expert knowledge and experience in the e-commerce industry.

We are on an ambitious journey to dominate not only US e-commerce market but also to enter new e-commerce markets of more than 15 countries in Europe, Asia and North America, not only Amazon channel but also Walmart, Wayfair among others. Besides, Home sporting goods, Furniture, Outdoor and Gardening are also great opportunities that we desire to occupy and create significant values. With our steady knowledge in E-commerce, Yes4All started to provide end-to-end ecommerce-enabler service in order to help Vietnamese and global manufacturers or struggling sellers bring their products to the US & International markets.

Our mission: Connect the Worldwide Resources & create innovative platform to bring products and services from innovators and manufacturers to worldwide customers more efficiently.

Our vision: To be the world leader of e-commerce enabler in term of trading, product creating, and e-commerce servicing.

I. JOB DESCRIPTIONS

1. Leadership

• Lead and mentor ML engineers, data scientists, and researchers to drive innovation in machine learning solutions.
• Define and execute the ML roadmap, aligning with business goals and technical feasibility.
• Oversee the end-to-end development of ML models, from data preprocessing to deployment and monitoring.

2. Collaboration

• Collaborate with software engineering teams to integrate ML models into production systems efficiently.

3. Hands-on

• Ensure best practices in ML model development, including reproducibility, version control, and performance evaluation.
• Optimize and automate ML workflows, leveraging MLOps principles for continuous improvement.
• Ensure compliance with data privacy regulations and ethical AI practices.

4. Performance

• Define and track key performance metrics to assess model accuracy, efficiency, and impact.
• Advocate for ML adoption across the organization and drive data-driven decision-making.

5. Tech savvy

• Stay updated with the latest advancements in AI, deep learning, and data science to apply state-of-the-art techniques.

II. REQUIREMENTS

1. Knowledge:

• Expertise in machine learning, deep learning, and statistical modeling techniques.
• Strong understanding of ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Experience with MLOps tools and practices, including model versioning, deployment, and monitoring.
• Proficiency in programming languages such as Python, Java, or Scala for ML applications.
• Deep understanding of cloud platforms (AWS or Azure) and their ML services.
• Knowledge of big data technologies like Spark, Hadoop, or Dask for handling large datasets.
• Familiarity with data engineering, feature engineering, and data pipeline optimization.
• Experience with CI/CD practices for ML model deployment and monitoring.
• Understanding of ethical AI, bias mitigation, and explainable AI techniques.

2. Skills:

• 4+ years of experience as ML Engineer and at least 1+ years of experience working as ML Manager.
• Strong leadership and team management skills to guide ML engineers.
• Excellent problem-solving skills to address ML challenges and model performance issues.
• Strategic thinking to align ML initiatives with business objectives.
• Ability to drive cross-functional collaboration between ML, data, and engineering teams.
• Experience in optimizing ML models for performance, scalability, and cost efficiency.
• Passion for continuous learning and keeping up with AI advancements.

III. WHY YOU WILL LOVE JOINING US?

1. FOR YOU TO JOIN

• Financial Well-being: A competitive salary with 13th month salary, annual performance bonus and a variety of allowances.
• Salary review: annually or on excellent performance.
• Activities: company trips, team-building, and other customized monthly bonding events.
• Annual leaves: 16 days off and 01 Birthday Leave per year.
• Healthcare: annual health check, insurance according to Labor Law and extra PTI Insurance package.
• Working Environment: dynamic, friendly environments with working time flexibility (Mon-Fri), and other perks include snacks, coffee, and healthy food provided daily suited for hardworking, fun, and team collaboration.

2. FOR YOU TO GROW

• Ambition: We are now keeping on with our hyper growth to multicategory, multichannel, multimarket, and expanding into the world largest e-commerce enabler. Hence, there will continuously be opportunities to challenge yourself, learn new skills and knowledge.
• Challenges: Your voice can always be heard as we embrace the eagerness of learning and sharing. You can be your own boss and create your own value with the ability to take initiative and make decisions in all aspects of work.
• Chances: Be led and coached by experienced and inspirational leaders and participate in various training courses where you can enlarge your knowledge and experience in the E-commerce and Supply Chain industry.

3. FOR YOU TO STAY

• People: Having a headquarter in the US and an operation office in Vietnam, our team is young and highly motivated. You will be working with and alongside members having experiences from International Corporations or high profile from Vietnam that share the same passion and dedication.
• Culture: Our working environment is humble, collaborative and 100% healthy. We promote Exchange & Speak out, you can receive transparent and supportive feedback so you can perform the best.
• Career path: Provide you a great career path, open to rotating for your better understanding of the company and contribute across many of our functions.

And much more, join us and let yourself explore other fantastic things!