Machine Learning Engineer

Computer Vision Engineer

Industry: AI/ML | DeepTech

Application Areas: Computer Vision · Artificial Intelligence · Machine Learning

Work Location: Remote (South America-based candidates only)

We are supporting one of our clients—an innovative leader in the AI and DeepTech space—in their search for a Computer Vision Engineer. This is an excellent opportunity to join a pioneering team that is building scalable, real-world computer vision and machine learning solutions.

If you're excited about cutting-edge CV/ML systems and enjoy working in a remote-first, fast-paced environment, this role might be a great fit for you.

Key Responsibilities:

• Design, develop, and optimize computer vision algorithms for object detection and recognition.
• Implement CV/ML models using Python, OpenCV, and C++ with GPU acceleration via CUDA.
• Deploy scalable models on cloud platforms (AWS, Azure, or Vertex AI).
• Collaborate with cross-functional teams to integrate CV pipelines into production-grade applications.

What You Bring:

• Strong experience with OpenCV, object detection frameworks, and Python.
• Solid C++ development skills for high-performance computer vision tasks.
• Knowledge of CUDA for GPU-based acceleration.
• Familiarity with cloud ML services (AWS SageMaker, Azure ML, or Google Vertex AI).
• Experience with training, tuning, and deploying ML models in production.

Bonus Points:

• Contributions to open-source CV/ML projects.
• Experience with edge deployment or real-time video analytics.
• Familiarity with MLOps practices and CI/CD for ML pipelines.