Cv/ml engineer

2 months ago

New Delhi, India Arena Club Full time
About Arena Club
If you’re passionate about sports cards and memorabilia, Arena Club is the place for you. We are revolutionizing the collectibles space by creating the first-ever digital card show. Led by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, Arena Club has built an entirely digital marketplace that utilizes transparent authentication, grading, and vaulting to share and display your cards in a personalized online showroom, no matter where you are.
About The Role
We are seeking a highly skilled and experienced Machine Learning Engineer specializing in Computer Vision to join our innovative team. As a key contributor, you will design, implement, and optimize machine learning algorithms that enhance our platform. This role offers a unique opportunity to work on cutting-edge solutions and make significant contributions to the project and the company as we expand our digital marketplace.
What You Will Do
Design, prototype, implement, evaluate, optimize, and monitor machine learning algorithms and software that can identify data points on trading cards.
Build and maintain production ML pipelines on AWS
Migrate ML pipelines from on-premise machine to AWS
Build, test, deploy, and maintain production systems
Maintain and promote best practices for software development, including deployment processes, documentation, and coding standards
Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Basic Qualifications5+ years of experience in machine learning, data science, or related fields
2+ years of experience with Computer Vision
Strong programming skills in Python or other relevant languages
Experience in dockerizing ML pipelines
In-depth knowledge of machine learning algorithms and techniques
Familiarity with popular machine learning frameworks, such as Tensor Flow or Py Torch
Experience building machine learning pipelines on cloud platforms (AWS, GCP, Azure, Databricks)
Basic knowledge and experience with Open CV
Strong problem-solving skills and the ability to think critically and creatively
Preferred Qualifications Experience working at a startup
Experience with MLFlow
Experience building and testing large-scale models using Open CV
Ability to work effectively in a remote team environment and collaborate with engineers across various time zones

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