AI Engineer ( Python/ AWS/ Machine Learning )

Top 3 reasons to join us

• Are you interested in creating web & mobile apps?
• Would you like to work in a dynamic & fun team?
• Attractive salary and annual salary review

Job description

• Design, develop and maintain scalable and resilient AI/ML products, recommendations system and personalization, chatbot, search and forecasting. You are responsible for end-to-end machine learning product life cycle, i.e. EDA, experimentation, model development, productionization, evaluation, automation with CI/CD pipeline, and A/B testing.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products that serve millions of Lumin users and businesses.
• Work with large and complex data sets to solve challenging problems using analytical, statistical, and machine learning algorithms.
• Identify and measure the success of machine learning product efforts through goal setting and monitoring of key metrics to understand trends.
• Gain an understanding of potential opportunities and methods to enhance the solutions, and use your insights and recommendations to test and drive initiatives forward.
• Develop and conduct best practices in the AI team.
• Partner with product, engineering, analytics, business, and cross-functional teams to inform, influence, support, and execute AI initiatives.
• Responsible for maintaining the health of the uptime SLA of the service.
• Provide support in coaching and mentoring the more junior team members.

Your skills and experience

Good candidates for AI Engineer position should have the following qualifications:

• A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
• Experience of 3-9 years in AI, Machine Learning, or Data Science roles.
• Strong technical hands-on experience in Python.
• Solid knowledge of Machine Learning fundamental i.e. knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimization, feature engineering, evaluation, etc.
• Extensive practical knowledge of Machine Learning algorithms libraries such as Tensorflow, Pytorch, Keras, Scikit-Learn and Pandas.
• Hands-on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search.
• Proficient experience in git and building CI/CD pipelines.
• Experience in operating Docker images within a microservices architecture.
• Proficiency in working with either GCP or AWS cloud platforms is required.
• Experience in MLOps platform e.g. MLflow, or Kubeflow.
• Having experience working with SQL is a plus.
• Nice-to-have: practical experience working with GenAI/LLM.
• Have a growth mindset, self-driven, high motivation & curiosity to learn.
• Strong analytical skills and proven experience working with complex & large data.
• Having a track record of delivering and taking action based on insights derived from JD – Senior AI Engineer 3 data is a plus.
• Demonstrated ability to successfully deliver end-to-end ML projects, including identifying impactful use cases, estimating effort, conducting EDA, developing solutions and models, evaluating performance, deploying models, and monitoring their performance.
• Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results.
• A self-driven individual and a team player with excellent communication skills.

Why you'll love working here

• Working & growing with Passionate & Talented Team.
• Diverse careers opportunities with Software Outsourcing, Software Product.
• English environment with projects from US, UK,  …
• Projects in various domains (pdf, logistic, online contract, medical …)
• Various training on hot-trend technologies, best practices and soft skills.
• Have 2 - 3 remote days / week (Flexible). 
• Working time 35 hours/week (Monday – Friday).
• Maximum 16 days annual leave per year.
• Refund annual leave days at the end of year.  
• Professional training process (support Udemy training course, >5000 courses).
• Training course refund (AWS…)
• Attractive Salary and Benefits.
• Performance review.
• Almost all customers from the US, UK ….
• MacBook Pro provided.
• Personal laptop allowance: $250 per year. 
• Employee referral bonus: $100 - $500.
• Project referral bonus: 5% project value contract. 
• Social insurance, PVI Premium health care for you and your loved ones. 
• 13th month salary and Bonus based on team performance.
• Free in-house entertainment facilities (bilak, ping pong,…), coffee, snacks, instant noodles,…
• Sport activities: football, table-tennis, table football…
• Company trips, team building, office parties, ….