Machine Learning Engineer

Overview

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 Qualifications 5+ 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 TensorFlow or PyTorch
• Experience building machine learning pipelines on cloud platforms (AWS, GCP, Azure, Databricks)
• Basic knowledge and experience with OpenCV
• 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 OpenCV
• Ability to work effectively in a remote team environment and collaborate with engineers across various time zones

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift

Experience:

• Machine learning: 5 years (Preferred)
• Computer vision: 2 years (Preferred)

Work Location: In person