
AI Developer (Visual AI / Computer Vision)
- İstanbul
- Sürekli
- Tam zamanlı
- Understand and Take Over the Existing System: Fully comprehend the current AI model and codebase.
- Enhance Instance Segmentation Models: Refine and expand the accuracy of object detection and segmentation for technical drawings.
- Integrate Vision-Language Models (VLM): Improve the classification and identification of components using Gemini API, Vertex AI, and related tools.
- Data Management & Labeling: Work with Roboflow and similar platforms to prepare and optimize datasets for training.
- Develop APIs & Integrations: Maintain and expand FastAPI-based endpoints (or equivalent) for system communication.
- Optimize Performance: Ensure the AI pipeline runs efficiently on GCP and/or Azure environments.
- Collaborate & Communicate: Work closely with the project team to align improvements with operational needs.
- Strong Python skills
- Experience with instance segmentation (YOLOv8 Segmentation, Mask R-CNN, etc.)
- Familiarity with VLMs and LLMs (Gemini API, Vertex AI, LangChain/LangGraph)
- Hands-on with OpenCV, scikit-image, Pillow, Pandas, NumPy
- API development with FastAPI or similar frameworks
- Experience with GCP (primary) and/or Azure AI services
- Problem Solver: Able to quickly understand unfamiliar systems and propose effective solutions.
- Adaptable: Comfortable working in a high-speed R&D environment.
- Independent Worker: Capable of taking full ownership of tasks and delivering with minimal supervision.
- Strong Communicator: Clear and effective in both written and spoken English.
- Innovative AI Project: Work on a pioneering Visual AI system applied to industrial and manufacturing processes.
- Flexibility: Fully remote, with the freedom to manage your work environment.
- Competitive Rewards: Compensation aligned with your expertise, plus potential performance bonuses.
- Growth Potential: This role starts as a freelance engagement via Upwork but may evolve into a full-time position if both sides are aligned.
- Ownership & Impact: Take direct responsibility for a critical part of the project and see your work deployed in real-world applications.
- Ownership Mindset: Take full responsibility for your work and its outcomes.
- Continuous Learning: Embrace new challenges and keep growing your skills.
- Making Things Happen: Focus on execution, measurable results, and iterative improvement.
- Thinking Forward: Anticipate challenges, plan strategically, and aim for long-term success.