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Posted
3 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)
View company
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
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