AI Engineer Python/ AWS/ Machine Learning

Gain an understanding of potential opportunities and methods to enhance the solutions, and use your insights and recommendations to test and drive initiatives forward.
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.
Identify and measure the success of machine learning product efforts through goal setting and monitoring of key metrics to understand trends.
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.
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.

Yêu cầu công việc

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

Experience in operating Docker images within a microservices architecture.
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.
Strong analytical skills and proven experience working with complex & large data.
Proficient experience in git and building CI/CD pipelines.
A self- driven individual and a team player with excellent communication skills.
A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
Hands- on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search.
Strong technical hands- on experience in Python.
Having experience working with SQL is a plus.
Have a growth mindset, self- driven, high motivation & curiosity to learn.
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.
Having a track record of delivering and taking action based on insights derived from JD – Senior AI Engineer 3 data is a plus.
Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results.
Extensive practical knowledge of Machine Learning algorithms libraries such as Tensorflow, Pytorch, Keras, Scikit- Learn and Pandas.
Experience in MLOps platform e.g. MLflow, or Kubeflow.
Experience of 3- 9 years in AI, Machine Learning, or Data Science roles.
Nice- to- have: practical experience working with GenAI/LLM.
Proficiency in working with either GCP or AWS cloud platforms is required.

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

Cập nhật gần nhất lúc: 2024-12-05 20:00:03