We are seeking a highly skilled Machine Learning Developer with expertise in video data processing and model development to join our team.
The ideal candidate will focus on building and deploying machine learning models tailored to video-based applications. You will be responsible for designing, training, and optimizing AI models,
creating APIs for interaction with these models, and deploying them efficiently using Docker. This is a hands-on role requiring strong technical expertise, problem-solving skills, and the
ability to work with video data pipelines.
Key Responsibilities:
Develop and implement machine learning models specifically for video-based data, including object detection, tracking, classification, and pattern recognition.
Create robust APIs that allow interaction with AI models in real-time.
Preprocess and manage video datasets for training and model validation.
Train, fine-tune, and optimize machine learning models to improve accuracy, efficiency, and performance.
Deploy machine learning models using Docker containers for seamless integration and scalability.
Collaborate with cross-functional teams to integrate models into existing applications and services.
Monitor and troubleshoot deployed models to ensure optimal performance in production environments.
Stay up-to-date with the latest advancements in machine learning, computer vision, and AI deployment technologies.
Qualifications:
Proven experience in machine learning model development for video data.
Strong proficiency in Python and popular machine learning frameworks such as TensorFlow, PyTorch, or similar.
Experience with video processing libraries like OpenCV or similar tools.
Familiarity with API development (REST/GraphQL) for AI model interaction.
Hands-on experience with Docker for containerizing and deploying machine learning models.
Strong understanding of deep learning, computer vision, and neural networks.
Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment is a plus.
Strong problem-solving skills and ability to work in a collaborative environment.
If you're passionate about machine learning and enjoy working with video data to create impactful AI-driven solutions, we'd love to hear from you!