This role is for candidates who are available to work as interns during Winter Internship 2026

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/ 

As a Machine Learning Engineer Intern at Sertis, you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.

In this role, you will get to:

• Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
• Assist in developing and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
• Help develop cloud-native APIs, pipelines, and general software components for model inference.
• Gain exposure to cutting-edge foundation models and assist in building agentic systems from scratch.
• Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
• Contribute to writing and maintaining clear technical documentation.

You'll be successful if you have:

• Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.
• Good communication and interpersonal skills to effectively work with team members

Nice to have:

• A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
• Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Some familiarity with Docker and containerization concepts is a plus.

​This is your chance to build your career in a growing data-driven and AI industry.

APPLY NOW!

Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Overview of the job

As an Machine Learning / AI Engineer at Sertis, you will play a pivotal role in productionizing advanced data science research. You will be responsible for efficiently running AI models on diverse hardware platforms and architectures, designing and building robust MLOps infrastructure, optimizing models for deployment, and writing production-ready software for model inference. You will work on real-world generative AI use-cases and agentic systems, and collaborate on the development of cutting-edge autonomous, intelligent applications at scale.

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs.
• Develop and maintain scalable infrastructure for model training and deployment.
• Develop cloud-native APIs, pipelines, and general software for model inference.
• Work with cutting-edge foundation models and build agentic systems from scratch
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles.
• Develop and maintain technical documentation.

You'll be successful if you have:

• At least 2 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions.
• A strong understanding of machine learning processes and standards, as well as the Software Development Life Cycle (SDLC).
• Strong programming skills in Python, C++, or other languages commonly used in machine learning applications.
• Good understanding of Generative AI concepts and real-world experience developing Generative AI applications
• Hands-on experience with LLM APIs such as OpenAI or Hugging Face
• An understanding of REST APIs, git version control, CI/CD, and MLOps principles.
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with Docker and containerization.
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment.
• The ability to scope projects, define architectures, and choose technologies based on project requirements.
• Strong communication and interpersonal skills to effectively collaborate with clients and team members.
• Proven experience in providing technical mentorship and guidance to junior engineers.
• Strong communication skills in English 

APPLY NOW!

Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice

Discover what it’s like to help build the fuelling network of the future - check out our Engineering Blog.

Reports To

Manager, Product Quality Engineering (PQE)

What You Will Be Doing

ChargePoint is looking for a Senior Factory Quality Engineer to ensure quality of our Electrical Vehicle Charging equipment. This engineer will be working closely with our contract manufacturing (CM) independently involved in Factory End-To-End Product Quality Control process and management system set up and development. The job scope will be from the initial product design phase throughout the sustaining mass production. He or she will work closely with our Technical Program Management, Manufacturing Engineering, Test Engineering, Supplier Quality, and Reliability Engineering teams, and our Suppliers and Contract Manufacturers. To be successful at ChargePoint, this person must be highly motivated, self-directed, and comfortable working in a loosely structured and fast-paced environment.

What You Will Bring to ChargePoint

• Independently lead CM (Contract Manufacturer) End-To-End quality control, including Incoming Quality Control (IQC), FATP in-process controls, Outgoing Quality Control (OQC), Ongoing Reliability Testing (ORT), and Out-Of-Box-Audits (OBA).
• Act as the first point of contact for factory quality issues and drive cross-functional resolution as the Core Team Leader.
• Lead crisis management at the CM related to factory and field escalations.
• Manage factory quality issue escalations through structured FA/RCCA from NPI through mass production ramp and EOL.
• Lead CM and cross-functional teams in developing and implementing inspections and test systems to ensure compliance with cosmetic and functional requirements.
• Conduct factory quality and process audits for new and existing suppliers.
• Drive CM yield and defect data reporting, perform Jira issue disposition reviews, and communicate key findings to cross‑functional teams and leadership.
• Partner with CM and ChargePoint internal teams to define, implement, and maintain in‑process, outgoing, and incoming quality control processes in collaboration with SDQE (Supplier Development and Quality Engineering).
• Familiarity with Python-based automated test scripts using manufacturing test equipment (e.g. Chroma, NH Research, Keysight, National Instruments).
• Familiarity with automated test sequences that integrate software control with hardware systems — including programmable power supplies and loads, relays, and instrumentation — to enable fully automated manufacturing tests.

Requirements

• Bachelor's degree in Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or equivalent practical experience.
• Excellent English and Thai communication skills, including technical report writing, presenting technical content, and leading cross‑functional discussions.
• 8+ years of experience in product quality or manufacturing engineering with a record of leadership at electronics Contract Manufacturers (CMs).
• Experience in electronics industries such as automotive, consumer electronics, solar, electric vehicle (EV), or battery.
• Familiarity with electrical systems and components (PCBA, MOSFETs, Transformers, IGBTs, Capacitors, Relays, Cable Harness, etc.).
• Experience with mechanical metrology and measurement tools (CMM, OMM, gauges, fixtures) for process capability (Cp/Cpk), First Article Inspection (FAI), and Gauge Repeatability and Reproducibility (GRR).
• Experience with structured problem-solving tools (Root Cause Analysis, 8D, Fishbone, 5 Whys) and familiarity with Failure Mode and Effects Analysis (FMEA).
• Experience in Mechanical and Electrical Design-for-Quality (DFQ) and Design for-Manufacturability (DFM). Ability to collaborate with design teams on DFX topics including Design-for-Test (DFT) and Design-for-Reliability (DFR).
• Familiar with Surface-Mount Technology (SMT) processes, printed circuit board assembly (PCBA) manufacturing, and system or sub-assembly build processes.
• Experience with at least two of the data analysis tools Excel, Python, Tableau, SQL, or equivalent.
• Familiarity with hardware/software integration or test automation with object-oriented programming in Python.
• Willingness to travel internationally up to 25% of the time.

Location

Thailand