ML Engineer - Specializing in Human Pose Estimation Models at Tezzro

Location: Remote

Company: Tezzro

About Us: We are at the forefront of developing advanced autonomous checkout-free store technology. Our team is focused on building state-of-the-art solutions that redefine the shopping experience by leveraging AI-driven technologies. We are looking for an experienced Machine Learning Engineer with specialized expertise in pose estimation models, particularly MMpose, to join our dynamic team.

Job Description: As a Machine Learning Engineer specializing in pose estimation, your main responsibility will be in developing, refining, and deploying high-accuracy models for detecting human pose and interactions within our autonomous store environments.

Key Responsibilities:

• Design, implement, and optimize pose estimation models, with a focus on MMpose and related frameworks.
• Collaborate with cross-functional teams to integrate pose estimation models into the overall system architecture.
• Improve the accuracy and efficiency of pose estimation algorithms through innovative techniques and model optimization.
• Conduct extensive testing and validation of models to ensure robustness and real-time performance.
• Stay updated with the latest advancements in pose estimation and human pose tracking technologies, and apply them to ongoing projects.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience (5+ years) in developing and deploying pose estimation models, particularly with MMpose.
• Strong programming skills in Python, with experience in TensorFlow, PyTorch, or other deep learning frameworks.
• Hands-on experience with data preprocessing, model training, and evaluation in the context of pose estimation.
• Familiarity with real-time inference and optimization techniques for deployment in production environments.
• Ability to work collaboratively in a fast-paced, agile environment.
• Excellent problem-solving skills and the ability to innovate in complex technical domains.

Preferred Qualifications:

• Experience in working with large-scale video datasets and real-time streaming data.
• Understanding of multi-person pose estimation and complex human motion tracking.
• Knowledge of computer vision algorithms and techniques beyond pose estimation.
• Prior experience in the retail or autonomous systems sector is a plus.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technology that will shape the future of retail.
• A collaborative and innovative work environment where your expertise will be valued.
• Continuous learning and development opportunities.