Senior Machine Learning Engineer

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 a Senior Machine Learning 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. Additionally, you will provide technical guidance to junior and mid-level machine learning engineers, represent the machine learning team in project discussions, and collaborate directly with clients to gather requirements.

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.
• Conduct experiments and analyses to evaluate model performance and identify areas for improvement in both edge and cloud computing.
• Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs.
• Provide technical advice and mentorship to junior and mid-level machine learning engineers.
• Act as a machine learning team representative, offering guidance to project members as needed.
• 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 5 years of experience as a Machine Learning Engineer, past experience in 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.
• 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.

It's a plus if you have:

• Experience working with IoT and edge devices (e.g. Android, Nvidia Jetson)
• Experience with model optimization for various hardware architectures
• Experience with computer vision applications
• Experience working with gRPC
• Understanding of low-level code performance optimization
• Knowledge and experience with GPU programming e.g. CUDA
• Professional C++ experience 

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