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An innovative startup is on the lookout for a skilled Machine Learning Engineer to join their dynamic team. This role focuses on developing cutting-edge applications that utilize machine learning technology, particularly in video and audio domains. You will have the opportunity to influence core technical decisions and contribute to the evolution of the tech stack in a fast-paced environment. If you are passionate about AI, Computer Vision, and eager to learn, this role offers a unique chance to make a significant impact in a forward-thinking company. Join them and be part of a team that values creativity and initiative!
A cutting-edge startup with a strong track record of creating disruptive products is seeking a Machine Learning Engineer to join their team. They are developing innovative applications that leverage machine learning, deployed on cameras, and are looking for a talented engineer to contribute to their success.
About the Role
You will work with both video and audio data, focusing on developing and deploying machine learning solutions. While prior experience in either domain is highly desirable, the team values smart, proactive engineers who are eager to learn and grow in the role.
Your work will span across Machine Learning, Computer Vision, and Artificial Intelligence, with opportunities to contribute to core technical decisions and influence the technology stack. As a startup, the environment is dynamic and flexible—giving you the chance to make a real impact.
Key Responsibilities:
Develop and optimize machine learning models for video and audio applications
Collaborate with cross-functional teams to bring AI-driven solutions to production
Contribute to the selection and improvement of the tech stack
Stay ahead of the latest trends in AI, CV, and ML to enhance product capabilities
What We're Looking For:
Strong proficiency in Python development
2-5 years of experience in Machine Learning, Computer Vision, or Artificial Intelligence
A problem-solving mindset with the ability to adapt and take initiative
Experience in working with video or audio (preferred)