Machine Learning Lead Engineer

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Our client is actively looking for a passionate Machine Learning Lead Engineer in Computer Vision Area to join their team. The candidate will collaborate in a cross-Knowledge software development unit and will lead a team of developers.

Key Responsibilities:

• Lead an innovative Machine Learning Solution team
• Development of production-ready solutions along with a highly skilled team of developers
• Implement algorithms for point cloud segmentation, compression, and shape classification
• Train Deep Neural Networks
• Work with others to adapt and optimize R&D algorithms to production-quality software
• Staging of ML solutions before deployment in production
• Code Review artifacts produced by team peers
• Build Technical Documents describing the solution

Required Skills:

• Bachelor and/or Master’s degree in Computer Science, Information Technology, or relevant field
• Team Leading & Managerial working experience
• 4+ years in Machine Learning and Computer Vision Development
• Hands on Experience in Computer Vision technology and Algorithms with Python
• Experience with multiprocessing and threading applications
• Practical experience with Relational Databases such as Maria DB, MySQL, PostgreSQL
• Knowledge of Cloud Infrastructures, preferrable AWS EC2, AWS RDS, AWS EKS
• Self-motivated and a teammate willing to pitch in on many areas in software development
• Being excited about new technologies, willing to dive in, learn and use them
• Excellent oral and written communication skills
• Fluency in spoken and written English

Desired Skills:

• Postgraduate Degree in the field of Computer Vision
• Experience in creating REST Applications
• Familiarity with Flask, Alembic and SQLAlchemy
• Knowledge of Front-end technologies, such as JavaScript, HTML5 and CSS3
• Knowledge of Docker containerization, Pytest testing and JavaScript
• Linux System Administration

Why Our Client:

• Competitive compensation
• Leading an innovative Machine Learning Solution team
• Joining an ambitious skilled team
• Opportunities to be involved with new technologies and frameworks
• Continuous Knowledge sharing and training support
• Friendly and pleasant working environment