Mission

As a Machine Learning Engineer, you will be at the forefront of advancing our platform’s computer vision capabilities. Leveraging your expertise in machine learning including data curation, pipeline development, and model monitoring, you will deliver high-performance solutions that power critical features for our growing client base.

The ideal candidate possesses a broad range of expertise in machine learning (data labeling, training pipeline development, and model deployment/maintenance), as well as strong engineering skills. In this role, you will tackle complex challenges across our computer vision (CV) projects and play a key part in driving innovation by contributing to our cutting-edge Image and Video Translation products.

Requirements

• Expertise in Computer Vision: experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
• Foundational ML Skills: familiarity with classical ML techniques (e.g., clustering, boosting).
• ML Lifecycle Knowledge: deep understanding of a machine learning project lifecycle.
• Python Engineering: experience developing and maintaining Python microservices and libraries.
• Ownership & Decision-Making: ability to work independently within a designated scope.

Key Responsibilities

• Data Management: Coordinate data labeling efforts and curate high-quality datasets.
• Model Development: Design, develop, and optimize ML training pipelines.
• Deployment: Prepare models for production and contribute to deployment processes.
• Monitoring & Maintenance: Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.

Our technologies

• ML: Python, Pytorch, Weights & Biases, Label-Studio
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Apache Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

J-18808-Ljbffr