Computer Vision Engineer (TensorFlow Preferred) — Full-Time — Remote (Pakistan) | Night Shift

Salary: PKR 120,000 – 280,000 / month (based on experience/results)
Shift: (First three months and then flexible timings) 6:00 PM – 3:00 AM PKT | Remote

About Ophthalytics

Ophthalytics is a fast-growing US healthcare AI startup expanding globally. Our mission is to end preventable blindness worldwide by enabling early detection of vision-threatening diseases using advanced imaging and AI.

We are among a small number of companies building Explainable AI (XAI) algorithms—AI that produces clinically meaningful outputs with transparency and trust.

Recognition & Momentum

• Named one of Georgia’s Top 10 Most Innovative Companies (2025)
• Partnerships and collaborations with world-class research ecosystems, including Georgia Tech, and research relationships involving leading institutions such as Yale and Harvard
• Rapid expansion across new regions, customers, and product capabilities

Role Summary

We are hiring a Computer Vision Engineer with strong deep learning expertise and proven ability to build production-ready ML systems on AWS. TensorFlow is preferred, but you should also be comfortable working with PyTorch and other modern ML frameworks as needed.

This is a high-ownership, fast-paced role with significant growth potential. You will work directly with the Founder, with high visibility and real impact on product direction and execution.

Key Responsibilities

• Build and improve computer vision models for:
• Classification (including multi-label)
• Object detection
• Segmentation
• Image quality assessment / quality gating
• Implement and fine-tune modern deep learning architectures:
• EfficientNet, ConvNeXt
• Vision Transformers (ViT, Swin)
• Own evaluation and reporting:
• F1, AUROC, sensitivity/specificity, thresholding, error analysis, experiment tracking
• Data management & data engineering (required):
• design/maintain dataset pipelines (ingestion, cleaning, normalization, deduplication)
• dataset versioning and lineage, train/val/test split strategy
• labeling workflow support, metadata management, and quality checks
• build reproducible data + training pipelines with clear documentation
• Build scalable training and deployment workflows on AWS
• Productionize models for deployment (as needed):
• TensorFlow Serving / TF-TRT / TFLite
• TorchScript / ONNX (plus)
• latency/throughput optimization and reliability checks
• Maintain strong software engineering standards:
• clean code, Git/PR workflows, documentation, and unit/integration testing

Required Qualifications

• 3+ years of hands-on experience in computer vision / deep learning (or equivalent portfolio)
• TensorFlow 2.x / Keras preferred, plus working knowledge of PyTorch and/or other ML frameworks
• Strong Python skills
• Strong grasp of CV modeling and training best practices (losses, augmentation, imbalance handling)
• Strong evaluation experience (F1, AUROC, sensitivity/specificity, calibration, error analysis)
• AWS is required: S3, EC2, IAM, CloudWatch (minimum); experience running ML workloads on AWS
• Strong knowledge of data management and data engineering for ML pipelines and large datasets
• Strong software development best practices (testing, code reviews, maintainable architecture, Git)

Preferred Qualifications

• AWS SageMaker, ECR, ECS/EKS, Step Functions, Terraform/IaC
• MLOps experience: experiment tracking, model registry, drift monitoring
• Explainability methods: Grad-CAM / saliency / attention visualization
• Medical imaging familiarity (bonus): DICOM/DICOMWeb, clinical workflow exposure

Why Join Ophthalytics

• High-impact mission: your work supports early detection and prevention of blindness globally
• Fast-paced environment: high ownership, rapid iteration, real production outcomes
• Direct access to leadership: work directly with the Founder and influence priorities
• Huge growth potential: opportunity to grow into senior/lead roles as the team scales
• World-class ecosystem: collaborations and partnerships connected to leading research institutions and innovation hubs

How to Apply

Please send:

• Resume to awais@ophthalytics.com
• Email Subject: CV Engineer
• Answer: your strongest area (classification/detection/segmentation), and highlight one production deployment you’ve delivered

Job Type: Full-time

Pay: Rs80,000.00 - Rs250,000.00 per month

Work Location: Hybrid remote in Lahore