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.