Simpson Strong-Tie Vietnam

Overview of job

YOU

You want to be an important member of a strong team of other makers who take pride in their work and support each other. As a Senior AI Engineer, you will be responsible for handling certain projects and working directly with our US stakeholders. That’s year one. If career growth is important to you, we not only know how to help you with that, it’s what we love to do:

PROJECT DESCRIPTION

Pipeline Takeoff (PTO) is a web-based application that allows you to plan and manage your projects within one cohesive platform. This includes the ability to upload digital blueprints, record measurements, and create fast and accurate estimates.

Document Intelligence is an Azure AI Service that supports PTO tool not only for auto-name sheets but also to validate scales on the house design. Additionally, AI OCR assists users in auto take-off key measures for repeated objects such as doors, lights, etc. Through the integration of AI in PTO, service takeoff challenges can astutely be resolved by leveraging the "potential features" that have been developing.

WHAT YOU’LL BE DOING

At Simpson Strong-Tie we value the individual, and the creativity that individuals can bring to the workplace. You join this company for a career, not a job!

• You will join the AI engineering team at the most innovative manufacturing and construction with US Team to build and develop AI services to help the product market improve its performance.  
• You enjoy working in a cross-functional environment, collaborating with product managers, software engineers, designers, data analytics, data engineers, and business stakeholders. 
• You will also be responsible for creating and optimizing core modules of the MLOps platform, from the computation layer to the orchestrator layer.  
• Working alongside our data scientists, you will enhance their workflows by providing efficient and effective solutions developed by the MLOps team. 
• Help coordinate schedules with SST Product Development, the Takeoff Tool Team and Vendor. 
• Follow up with Vendor closely to make sure alignment of between PTO and Auto-assist takeoff   
• Research, create and deploy AI/ML algorithm 

1. Attractive salary with 100% salary during probation
2. 13th-month salary, Performance bonus, Salary review annually
3. Premium health care program for employees + one of your beloved ones, Annual medical check-up
4. 14 vacation days, Christmas Day per year
5. Opportunity to be on-site in the USA
6. Chance to collaborate and work with global stakeholders
7. Provide training to develop our employee‘s knowledge and skills (Internal training: Udemy, Pluralsight, and another online training course, TechTalk sharing within Software Development Division; External training: Management, English, Soft Skills, ….)
8. Benefits for special holidays (Birthday, Marriage, Women’s Day, Tet Holidays, Mid-Autumn, Newborn babies, International Children‘s Day…)
9. Company trip and Year-End party every year
10. Social, sports and several team building activities
11. Young, friendly and international working environment
12. Modern working conditions and entertainment facilities at the office
13. Snacks, tea and coffee all the time
14. Compliance fully to Vietnam Labor code

If you can do everything listed above, you’ve got what it takes. Perhaps some of the following would be helpful too: 

• Experience of at least 3 years in Software Development 
• Experience of at least 3 years in AI, Machine Learning, Data Science roles. 
• Strong technical hands-on experience in Python. 
• Design, develop and maintain scalable and resilient AI/ML products, e.g. Recommendations system & Personalization, Chatbot, Search, Forecasting, etc. You are responsible for end-to-end machine learning product life cycle. 
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products. 
• Solid knowledge of Machine Learning fundamental i.e. knowledge of model’s variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimization, feature engineering, evaluation. 
• Strong hands-on experience in Machine Learning algorithms & libraries like Tensorflow, Pytorch, Keras, Scikit, Pandas. 
• Monitoring the performance of the MLOps platform and proactively identifying areas for optimization. This includes analyzing system performance, ensuring low latency, and optimizing cloud resource consumption for cost-effective operations. 
• Design, implement, and optimize the core modules of our MLOps platform. This includes developing solutions that enhance our machine learning workflows’ scalability, efficiency, and robustness. 
• Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results. 
• Hands-on experience with cloud providers such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) or Microsoft Azure. Your familiarity with cloud services and infrastructure will be essential in architecting scalable and reliable MLOps solutions. 
• Practical experience of ML modeling, involving the entire process from conceptualizing ideas to developing, evaluating, and deploying models, with the added advantage of having expertise in monitoring and managing model performance after deployment. 
• Good verbal and written communication in English is required.