Designveloper

144-146 Nguyen Thai Binh, TP Hồ Chí Minh

Company Size : 25-99

Job Summary

25-99
Outsourcing
Việt Nam

AI Engineer

Designveloper

Quận 1, TP Hồ Chí Minh
Negotiable
Full Time

English
Experienced (Non-Manager)

Posted:11/11/2024

Expired

Technical Skill: Machine Learning , Python , AWS , Algorithm , Git , MS SQL , Docker , Architecture , Pandas , EDA , Tensorflow , Keras , Microservices , GCP , scikit-learn , PyTorch , NLP , Computer Vision , MLflow , Kubeflow , MLOps , CI/CD , LLM , GenAI

Job description

Overview of job

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.

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, ….

Job Requirement

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.

Languages

- English
- Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

Machine Learning
Python
AWS
Algorithm
Git
MS SQL
Docker
Architecture
Pandas
EDA
Tensorflow
Keras
Microservices
GCP
scikit-learn
PyTorch
NLP
Computer Vision
MLflow
Kubeflow
MLOps
CI/CD
LLM
GenAI

COMPETENCES

Self Motivated
Analytic Skills
Working Independently
Communication Skills
Teamwork
Creative

Designveloper

Job Summary

AI Engineer

Job description

Overview of job

Job Requirement

Languages

Technical Skill

COMPETENCES

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