Machine Learning Engineer (Computer Vision) - Sport domain

Opinov8; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative leader in sports entertainment is seeking a talented Machine Learning Engineer specializing in Computer Vision. In this exciting role, you will develop AI-powered solutions to analyze football drills from video footage, utilizing deep learning models and cloud-based deployment. This forward-thinking company offers a digital-first approach, allowing you to work remotely from anywhere in the world. You'll enjoy flexible time-off policies, engage in exciting projects, and collaborate with a diverse team of creative thinkers. If you're passionate about pushing boundaries in technology and sports, this opportunity is perfect for you.

Benefits

Flexible Working Conditions

Remote Work Model

Flexible Time-Off Policy

Continuous Learning Opportunities

Collaborative Team Environment

Qualifications

• Strong experience in Computer Vision and deep learning frameworks.
• Proficiency in Python and image/video processing techniques.

Responsibilities

• Design and optimize Computer Vision solutions for analyzing football drills.
• Train and fine-tune deep learning models for video analysis.

Skills

Computer Vision

Python

Deep Learning

Object Detection

Segmentation

Tracking

Action Recognition

Mathematical Methods

Problem-Solving Skills

Tools

OpenCV

PyTorch

AWS SageMaker

Job description

PROJECT DESCRIPTION:
Our client is an innovative leader in professional sports entertainment in Germany, focused on delivering high-energy competitions and enhancing fan engagement. With a commitment to creativity and collaboration, the organization is redefining the sports experience while providing a platform for talented athletes to showcase their skills.
We are seeking a skilled Machine Learning Engineer specializing in Computer Vision to develop AI-powered solutions for analyzing football drills from video footage. You will work with deep learning models, computer vision techniques, and cloud-based ML deployment to extract real-world insights from sports videos.

IN THIS ROLE, YOU WILL:

1. Design, develop, and optimize a Computer Vision part of the solution for analyzing football drills in video footage;
2. Post-process model outputs using mathematical methods to derive real-world metrics (distance, speed, acceleration, etc.);
3. Train and fine-tune deep learning models;
4. Preprocess and augment video data using OpenCV and related libraries;
5. Collaborate with cross-functional teams to integrate models into a production environment.

IF YOU HAVE:

1. Strong experience in Computer Vision, including object detection, segmentation, tracking, keypoint/pose estimation, action recognition, and depth estimation;
2. Proficiency in Python and deep learning frameworks such as PyTorch;
3. Hands-on experience with YOLO and Transformer-based architectures for vision tasks;
4. Expertise in image and video processing using OpenCV;
5. Experience with cloud ML deployment, preferably using AWS SageMaker;
6. Strong understanding of model training, evaluation, and optimization;
7. Strong problem-solving skills and ability to work independently.

NICE TO HAVE:

1. Experience applying machine learning to biomechanics, physical exercise analytics, and human motion analysis;
2. Knowledge of AWS infrastructure and MLOps best practices;
3. Experience deploying edge AI models on mobile platforms (Android/iOS).

AS AN OPINOV8R, YOU WILL HAVE:

1. Digital-First Approach: Great talent knows no borders! You can work from wherever you are. We hire and collaborate with professionals worldwide;
2. Remote Work Model: Balance your professional and personal life with our flexible working conditions. We offer an equal and transparent working environment, empowering you to be productive and deliver your best from anywhere;
3. Flexible Time-Off Policy: Enjoy twenty vacation days, long and short-term sick leave, and five extra personal days to take care of important personal matters, allowing you to manage your time as you see fit;
4. Exciting Projects: Dive into impactful projects across various industries that challenge and spark your creativity. Work on innovative solutions that push boundaries, giving you the chance to make a difference and drive change;
5. Boost Your Expertise: Elevate your career with unmatched experiences that expand your knowledge and master skills. We foster continuous learning and development opportunities that allow you to grow and reach new heights;
6. Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers who inspire and support. Together, we develop services that make a real impact on the world.

HOW’S THE HIRING PROCESS GOING:
We strive to make a smooth and transparent hiring process to find the perfect match for both sides. Steps may differ depending on the position — here's what to expect:

1. Initial Interview: If your background fits the role's criteria, we'll invite you for an interview with a Talent Acquisition Specialist to get to know you better;
2. Technical Interview: Depending on the role, you may be asked to complete a technical assessment/test tasks to showcase your expertise;
3. Final Decision: After completing all interviews and assessments, we'll reach a final decision and get back to you with the result.