Top Tech Jobs & Startup Jobs

Build and operate MLOps infrastructure for computer vision models, moving them from experimentation into reliable cloud and edge production. Responsibilities include CI/CD pipelines, dataset and model versioning, monitoring, drift detection, GPU optimization, experiment tracking, and scalable deployment using Docker and Kubernetes. Collaborate with data scientists and AI researchers to optimize latency, throughput, batching, GPU memory usage, and system costs.

Supports AI/ML teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, cloud, and data-quality skills, with opportunities to grow into applied modeling or MLOps.

Supports AI teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Supports AI/ML teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, cloud, and data-quality skills, with opportunities to grow into applied modeling or MLOps.

Supports AI/ML teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Supports AI teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, cloud, and data-quality skills, with opportunities to grow into applied modeling or MLOps.

Supports large-scale computer vision workflows by curating image and video datasets, managing annotation processes, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. Requires foundational Python, machine learning, computer vision, and cloud knowledge, with strong attention to data quality and willingness to learn.

Supports AI/ML teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Deploy and operate computer vision models in production across cloud and edge environments. Build reproducible ML pipelines, CI/CD automation, dataset and model versioning, monitoring, drift detection, and lifecycle controls. Optimize GPU workloads for latency, throughput, batching, memory utilization, scalability, and cost. Collaborate with data scientists and AI researchers to productionize experimental models while managing infrastructure and deployment reliability.

Author and quality-assure AI-driven automations for defined healthcare workflows, execute accurate high-volume automation tasks, provide support, and maintain technical and process documentation. Collaborate remotely with product, engineering, and QA teams using GitHub, Slack, and JIRA. Contribute to improvements in core applications and internal tooling. This is a three-month contract with potential extension.