Job TitleComputer Vision / Applied ML Engineer B2B & Classifieds
Role OverviewWe are looking for a hands-on Computer Vision / Applied ML Engineer to own and scale the ML systems powering our B2B and Classifieds modules.
This role focuses on image intelligence, moderation, quality scoring, duplicate detection, and data-driven automation not core generative AI or chatbot systems.
You will work closely with product and backend teams to design, deploy, and optimize production-grade ML systems that directly impact marketplace quality and trust.
Key Responsibilities1. Computer Vision & Image Intelligence- Build and optimize image processing pipelines using OpenCV
- Implement object detection, classification, and feature matching models
- Develop duplicate/near-duplicate image detection systems
- Improve listing quality via automated image scoring and validation
- Optimize model inference for low-latency production use
2. ML Model Development & Deployment- Train, fine-tune, and deploy deep learning models (PyTorch preferred)
- Work with detection architectures (YOLO, Faster R-CNN, etc.)
- Implement evaluation pipelines and model monitoring
- Improve precision/recall for moderation and classification systems
3. Data & Infrastructure- Design clean ML pipelines integrated with backend systems
- Work with SQL databases (PostgreSQL/MySQL)
- Build automated workflows (batch + scheduled jobs)
- Containerize and deploy models using Docker
- Work with AWS services (S3, ECR, compute services)
4. Quality & Moderation Systems- Build ML-based listing moderation systems
- Detect fraud/spam listings using image + metadata signals
- Improve marketplace trust and content quality through ML
Required SkillsMust-Have- Strong expertise in Computer Vision & Image Processing
- Hands-on experience with OpenCV
- Deep Learning experience using PyTorch or TensorFlow
- Experience with Object Detection models
- Strong understanding of model training, evaluation, and optimization
- Experience deploying ML models in production
- SQL database proficiency
- Docker-based deployment experience
- AWS experience (S3, ECR, compute services)
Good to Have- Feature matching & similarity search
- Basic MLOps practices
- Workflow orchestration tools (Airflow)
- Experience working in marketplace / classifieds / content platforms
Experience- 25 years of relevant experience in Computer Vision / Applied ML
- Proven track record of shipping ML models into production
Ideal Candidate- Strong ownership mindset
- Can independently design train deploy monitor ML systems
- Practical problem solver (not research-only)
- Comfortable working in fast-paced product environments
