Sr. Computer Vision & AI Engineer İş İlanı

Key Responsibilities Design & Implement Computer Vision Solutions: Develop and optimize end-to-end computer vision pipelines using advanced deep learning techniques. LLMs-VLMs: Have awareness about the latest technologies in the field of LLMs and VLMs. Model Development & Deployment: Build, train, and deploy deep learning models (e.g., object detection, image segmentation, classification) using frameworks like PyTorch and TensorFlow. Data Pipeline & Infrastructure: Work closely with data engineers to ensure efficient data preprocessing, augmentation, and real-time inference pipelines. Docker & REST APIs: Containerize applications for scalable deployments and create robust RESTful APIs for seamless integration with other services. UI Development (PyQt): Develop or integrate user interfaces for internal tools or customer-facing applications. Model Monitoring & Experiment Tracking: Leverage tools like Weights & Biases (wandb) or MLflow to track experiments, monitor model performance, and ensure continuous improvement. Performance Optimization: Conduct performance tuning and hardware optimization (GPU/CPU) to achieve high throughput and low latency. Collaboration & Mentorship: Work in cross-functional teams (Product, Data, DevOps) and mentor junior developers on best practices and new technologies. Required Qualifications 5+ years of hands-on experience in Computer Vision and Deep Learning . Fluency in Python ; additional programming languages (C++, Java, etc.) are a plus. Expertise in Deep Learning Frameworks: PyTorch and TensorFlow. Proficiency with Docker for containerization and microservices. Experience with RESTful API design and implementation. Knowledge of PyQt (or similar frameworks) for desktop UI development. Familiarity with Model Monitoring & Experiment Tracking (Weights & Biases, MLflow, etc.). Strong background in linear algebra, calculus, and probability/statistics as they relate to ML. Excellent problem-solving and debugging skills. Bachelor’s/Master’s/PhD in Computer Science, Electrical Engineering, or a related field (or equivalent work experience). Preferred Skills & Nice-to-Haves Experience with DevOps practices (CI/CD, Kubernetes). Familiarity with Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation Flexible Work Arrangements (Remote) and a positive work-life balance. Growth Opportunities : A chance to lead cutting-edge projects and mentor junior developers. Collaborative Culture : Work alongside passionate professionals in an environment that values innovation and continuous learning.