Senior Machine Learning Engineer

Key Skills

AWS, Azure, C++, Caffe, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, Deep Learning, Docker, Google Cloud Platform (GCP), Machine learning techniques, MxNet, ONNX, Python Programming, PyTorch

Job Description

Our Senior Machine Learning Engineers are passionate about efficiently running cutting-edge AI models on a variety of hardware platforms and architectures. You will work closely with AI Researchers and Software Engineers, making AI prototypes become production-ready software and applying state-of-the-art techniques to optimize models for deployment while maintaining accuracy.

What are the responsibilities of a Senior Machine Learning Engineer

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs
• Implement, and maintain machine learning models for edge devices such as cameras, drones, or IoT sensors.
• Develop and maintain scalable infrastructure for model training and deployment on either edge devices or cloud based solutions
• Conduct experiments and analysis to evaluate model performance and identify areas for improvement in edge computing and object tracking applications.
• Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
• Develop and maintain technical documentation
• Participate in recruitment in order to evaluate and interview candidates, as well as improving our recruitment processes
• Share your expertise across the team and mentor the junior/mid-level via code reviews, 1:1, workshops or knowledge sharing sessions, to enhance their technical skills and understanding of best practices

Requirements for this role are:

• 5+ years of experience in developing and deploying machine learning models for edge devices and/or cloud based solutions in a production environment
• Strong programming skills in Python, C++, or other programming languages commonly used for machine learning and computer vision applications
• Proficiency in computer vision algorithms for object detection, recognition, and tracking
• Experience with hardware and software integration of camera systems and edge devices, including knowledge of image sensors, optics, and processing units
• Ability to optimize and deploy models for real-time processing and low-latency applications on edge devices
• Experience using Docker for containerization and deployment of applications in a production environment
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment
• Ability to scope projects, define architectures, and choose technologies based on project requirements
• Leadership skills and ability to mentor junior and mid-level Machine Learning Engineers
• Experience with a deep learning framework (e.g. TF, Pytorch, MXNet, CAFFE, ONNX)

It's a plus if you have:

• Experience working with IoT and edge devices (e.g. Android, Nvidia Jetson)
• Experience with deep learning compilers (e.g TVM, XLA, Glow)
• Experience with deep learning accelerators (e.g. TPU, NPU, DLA)
• Experience with deep learning optimization frameworks (e.g. TRT, TFLITE, MACE)
• Experience with CI/CD, Cloud Platforms (e.g. GCP, AWS, Azure)
• Understanding of low-level code performance optimization
• Knowledge and experience with GPU programming e.g. CUDA

Who excels in this role

• Someone who loves getting things done!
• Open-minded - eager to ask for comments/suggestions for improvement
• Passionate for anything and everything data
• Able to share and suggest ideas
• Love doing tons of research
• Have a can-do and will-do attitude!
• Ready to tackle any challenges

What are some of the benefits of working at Sertis

• Hybrid working environment
• Up early or slow starter in the morning? We have flexible office hours
• Mentorship programs for every level; from executive-level coaching to fresh grad
• Learning support- to help you build your skillset and grow your career
• Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
• ​We cultivate intelligence and learning so that our experts can become community leaders in their respected fields in the tech industry
• Amazing colleagues to enjoy company social outings, parties, and events
• Result-oriented workplace; We provide direction, not orders and give you the autonomy to deliver your best work
• We work at the frontier of innovation in the AI industry
• Work on meaningful solutions that solve and improve real-life problems and challenges
• We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture