AI Engineer ( Python/ AWS/ Machine Learning )

Designveloper (DSV)
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Office
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No. 53-55-57, Pho Duc Chinh street, Nguyen Thai Binh ward, District 1, Ho Chi Minh
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Posted 10 days ago

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, ….

Designveloper (DSV)

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Designveloper is a youthful & innovative team expertise in web, software, mobile & VoIP development

Company type
IT Outsourcing
Company industry
N/A
Company size
51-150 employees
Country
Vietnam
Working days
Monday - Friday
Overtime policy
No OT