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Vetted PyTorch Professionals
Pre-screened and vetted.
Junior Full-Stack & Machine Learning Engineer specializing in observability tools
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Senior Full-Stack & AI Engineer specializing in scalable web and cloud applications
Junior Backend & ML Engineer specializing in Golang microservices and LLM/RAG systems
Senior Machine Learning Engineer specializing in NLP and production ML systems
Junior Software Engineer specializing in Python microservices and AWS
Mid-level Python Developer specializing in cloud-native APIs and microservices
Mid-level Research Assistant specializing in interpretable ML and AI evaluation
Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference
Mid-level AI/ML Engineer specializing in LLMs and RAG systems
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-level Python Backend Engineer specializing in microservices and AWS
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data pipelines
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior AI Engineer specializing in LLMs, agentic systems, and ML infrastructure
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Sinem Çelik
Intern Robotics/Computer Vision Engineer specializing in deep learning and synthetic data
“Robotics software learner building a self-directed recycling robot project in Isaac Sim, integrating ROS2 + Nav2 + SLAM with camera/LiDAR sensing and CV-based object detection. Has prior hands-on ROS2 work creating a YOLO detection node visualized in RViz and has built/optimized simulated line-follower and maze-solver robots in Webots, documenting progress publicly on GitHub and LinkedIn.”
Emmanuel Agbator
Entry-Level Electrical & Computer Engineering graduate specializing in ML and computer vision
“Hands-on LLM/agentic workflow practitioner who focuses on moving prototypes into production by improving data quality, preprocessing, and validation, and by testing against real user inputs. Experienced troubleshooting LLM issues in real time during live tests and supporting adoption through developer demos and sales-partnered technical explanations that address customer reliability concerns.”