Job Description

We are looking for passionate ML engineers who can develop machine learning models for complex computer vision applications.

Responsibilities:

• Design, develop and deploy experiments to improve efficiency of machine vision algorithms
• Extend and enrich existing ML model pipelines for data ingestion, processing, training, deployment
• Explore and visualize data for better understanding of outcomes of training experiments

Requirements:

• At least 3+ years practical experience in machine learning algorithm development within computer vision domain — key areas of interest include any of the following: object detection and instance segmentation, object tracking, activity recognition, multiple view geometry, 3D computer vision
• Experience with database management systems, data platforms (e.g. Streaming Data Platform, Kafka, Logstash, Teradata, Hadoop, etc.), and data formats (e.g. SQL, NoSQL, AWS S3, JSON, Redis, neo4j, etc.) for efficient ML feature extraction and data transformations
• Exceptional data science skills, including a strong understanding of statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information streams
• Experience in automation and build infrastructure in distributed environment
• Previous experience moving prototypes to production environment and optimizing models in production environment

Qualification:

• BS/MS degree in Computer Science, Engineering or a related subject

Nice to Have:

• An active github account with open source contributions
• Certifications, Conferences Participation, Published Journals, Papers and Articles

Work Hours:

• Full Time(Mon – Fri, 9:00AM – 6:00PM)

MUST have:

Good Attitude, Dedication, Unceasing Learning, Sincerity, Good Academic Background