Facial Recognition & Model Optimization Specialist ( US Only ) -- 2
Budget: $20,000 – $50,000 USD
About Us:
We are an innovative technology firm at the forefront of computer vision and machine learning advancements. Our mission is to develop cutting-edge solutions that enhance the way industries operate, leveraging the power of artificial intelligence to solve real-world problems. We are seeking a highly skilled and experienced Machine Learning Engineer with a specialization in computer vision models and model optimization to join our dynamic team.
Role Overview:
As a Machine Learning Engineer, you will play a critical role in developing and optimizing key point detection models, primarily focusing on OpenPose and other advanced models. Your expertise will drive the creation of high-performance algorithms capable of transforming the landscape of computer vision applications. This position requires a combination of technical excellence, a deep understanding of computer vision technologies, and the ability to innovate and implement solutions that push the boundaries of what is possible.
Key Responsibilities:
- Design, develop, and optimize key point detection models, with a strong emphasis on OpenPose and similar technologies.
- Conduct research and implement computer vision algorithms to improve model accuracy, efficiency, and scalability.
- Collaborate with cross-functional teams to integrate computer vision technologies into our products and services.
- Stay abreast of the latest developments in the field of machine learning and computer vision, ensuring our approaches remain cutting-edge.
- Analyze and improve existing machine learning frameworks and infrastructure to enhance performance and reduce computational costs.
- Prototype and validate models with real-world data and scenarios to ensure robustness and applicability.
Document and communicate findings and insights to both technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
- Proven experience (3+ years) in developing and optimizing computer vision models, specifically in key point detection using OpenPose and other relevant technologies.
- Proficient in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.
- Strong programming skills in Python and familiarity with C/C++.
- Experience with GPU programming and optimization techniques.
- Solid understanding of image and signal processing.
- Demonstrated ability to work collaboratively in a team environment and communicate effectively.
- Creative problem-solving skills and a passion for innovation.
What We Offer:
- A dynamic, supportive, and collaborative work environment.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Access to cutting-edge technology and resources.
- A chance to make a significant impact in a growing field.
How to Apply:
If you are passionate about advancing the field of computer vision and machine learning and meet the qualifications listed above, we would love to hear from you. Please submit your resume, a cover letter detailing your relevant experience and why you're the best fit for this role, and any relevant project portfolios or GitHub links.
https://www.linkedin.com/jobs/view/3869044349/
We are an innovative technology firm at the forefront of computer vision and machine learning advancements. Our mission is to develop cutting-edge solutions that enhance the way industries operate, leveraging the power of artificial intelligence to solve real-world problems. We are seeking a highly skilled and experienced Machine Learning Engineer with a specialization in computer vision models and model optimization to join our dynamic team.
Role Overview:
As a Machine Learning Engineer, you will play a critical role in developing and optimizing key point detection models, primarily focusing on OpenPose and other advanced models. Your expertise will drive the creation of high-performance algorithms capable of transforming the landscape of computer vision applications. This position requires a combination of technical excellence, a deep understanding of computer vision technologies, and the ability to innovate and implement solutions that push the boundaries of what is possible.
Key Responsibilities:
- Design, develop, and optimize key point detection models, with a strong emphasis on OpenPose and similar technologies.
- Conduct research and implement computer vision algorithms to improve model accuracy, efficiency, and scalability.
- Collaborate with cross-functional teams to integrate computer vision technologies into our products and services.
- Stay abreast of the latest developments in the field of machine learning and computer vision, ensuring our approaches remain cutting-edge.
- Analyze and improve existing machine learning frameworks and infrastructure to enhance performance and reduce computational costs.
- Prototype and validate models with real-world data and scenarios to ensure robustness and applicability.
Document and communicate findings and insights to both technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
- Proven experience (3+ years) in developing and optimizing computer vision models, specifically in key point detection using OpenPose and other relevant technologies.
- Proficient in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.
- Strong programming skills in Python and familiarity with C/C++.
- Experience with GPU programming and optimization techniques.
- Solid understanding of image and signal processing.
- Demonstrated ability to work collaboratively in a team environment and communicate effectively.
- Creative problem-solving skills and a passion for innovation.
What We Offer:
- A dynamic, supportive, and collaborative work environment.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Access to cutting-edge technology and resources.
- A chance to make a significant impact in a growing field.
How to Apply:
If you are passionate about advancing the field of computer vision and machine learning and meet the qualifications listed above, we would love to hear from you. Please submit your resume, a cover letter detailing your relevant experience and why you're the best fit for this role, and any relevant project portfolios or GitHub links.
https://www.linkedin.com/jobs/view/3869044349/