Computer Vision Solutions Leader

Location: Remote; USA, Poland, or Ukraine

Company

hirify.global delivers engineering and technology services, including AI and computer vision solutions.

What you will do

• Lead end-to-end delivery of computer vision proof-of-technology engagements, from discovery and solution architecture through model-cascade implementation, evaluation, and production scale-up decisions.
• Translate evolving client expectations into achievable technical roadmaps, reshape scope based on evidence, and advise stakeholders on realistic proof-of-technology outcomes.
• Direct a small cross-functional team and support stakeholder workshops, readouts, proposals, pre-sales, and production-scale positioning.
• Design cascading model-training architectures with teacher models, adjudication layers, learned human-review routing, and evaluation harnesses.
• Build Azure MLOps pipelines covering data ingestion, versioning, labeling feedback, training, evaluation gates, registration, deployment, monitoring, and reproducible retraining.
• Develop reusable frameworks and accelerators for model lifecycle management, edge and geospatial inference, lightweight evaluation, and cloud or edge deployment.

Requirements

• 6+ years of experience in computer vision, machine learning, deep learning, or AI solution delivery, including at least one engagement taken from early proof of concept through a production or scale-up decision.
• Strong expertise in multimodal AI, generative AI, transformers, and vision-language models, with practical experience applying them in model cascades such as teacher-student distillation, adjudication, or active learning.
• Hands-on experience with Python, PyTorch, Pandas, NumPy, and cloud-based AI toolsets.
• Experience across the full AI model lifecycle, including experimentation, optimization, deployment, inference, and preferably edge deployment and post-deployment monitoring.
• Strong knowledge of classical computer vision, including camera calibration, feature matching, homography estimation, geospatial or georeferenced imagery, and image or video analytics.
• Experience deploying AI solutions with Azure, AWS, GCP, Kubernetes, OpenShift, or hybrid enterprise environments.
• Familiarity with Infrastructure as Code, such as Terraform or Bicep, and containerized deployment using Kubernetes, AKS, or similar orchestration platforms.
• Strong advisory, stakeholder management, communication, collaboration, analytical, and problem-solving skills, including the ability to set expectations and defend evidence-based recommendations.
• Understanding of enterprise software architecture, cloud computing, Big Data, SDLC, and practical AI adoption constraints involving data, hardware, connectivity, and regulation.
• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related technical field is preferred.

Nice to have

• Experience with geospatial data stores such as PostGIS and/or Databricks.
• Experience with edge orchestration such as Azure IoT Edge or K3s.
• Expertise with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, or TAO Toolkit.

Culture & Benefits

• Remote work arrangement within the listed locations.
• Equal opportunity employment regardless of legally protected characteristics.
• Work combines deep technical delivery, customer-facing leadership, and collaboration with engineering and business development teams.
• The role involves operating creatively with incomplete information and changing requirements, hardware, or regulatory conditions.

Hiring process

• Submit an application through the hirify.global application form; the recruiting team will follow up.