ML Engineer- SportsTech

Our client

Our client is a fast-growing AI-focused company building cutting-edge solutions in SportsTech. They are currently seeking a talented Machine Learning Engineer who specializes in object detection and has a solid foundation in data structures, algorithms, and Python. Our client is looking to hire in Brazil, Argentina, Canada or Portugal.

The role

As a Machine Learning Engineer, you will be responsible for designing, developing, training, and optimizing object detection models. Your work will power our client’s AI-driven features and have direct impact on the core product experience. You’ll collaborate closely with software engineers, product managers, and designers to bring AI features from research to production.

Tasks & Responsibilities

• Design and implement object detection algorithms using modern deep learning frameworks;
• Build, train, and evaluate custom models for various detection tasks;
• Develop data pipelines and prepare datasets for training and validation;
• Optimize model performance for accuracy, speed, and memory efficiency;
• Convert and integrate models into mobile/edge platforms using tools like CoreML, ONNX, or TensorFlow Lite;
• Collaborate with cross-functional teams to understand product requirements and deploy models to production;
• Continuously monitor and improve model performance based on real-world data and feedback.

Your profile

• Over three years of experience in machine learning with a focus on computer vision and object detection;
• Proficiency in Python, along with solid understanding of data structures and algorithms;
• Experience with deep learning frameworks such as PyTorch or TensorFlow;
• Strong understanding of CNNs, bounding box regression, and evaluation metrics (mAP, IoU, etc.);
• Experience with CoreML and running models on iOS or edge devices as well as knowledge of ONNX, TensorFlow Lite and familiarity with real-time video processing would be a strong plus;
• Familiarity with model optimization techniques like pruning, quantization, and distillation;
• Experience training and deploying custom models on real-world datasets;
• Excellent problem-solving and debugging skills;
• You are already located in Brazil, Argentina, Canada or Portugal, happy to work remotely and familiar with the start-up culture.