Applied AI/ML Engineer

To design, build, and deploy practical AI-powered solutions, the full-time Applied AI/ML Engineer will apply modern ML and GenAI techniques in production systems while collaborating with engineers and product stakeholders in a hybrid/remote work environment. Key responsibilities Design, develop, and deploy machine learning and AI-powered features into production systems Build and evaluate models for classification, ranking, prediction, NLP, or anomaly detection Collaborate with software engineers to integrate models into APIs, services, and user-facing applications Required qualifications Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation Experience building and deploying ML models in real-world applications Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) Experience working with large language models, embeddings, and prompt-driven systems Understanding of software engineering best practices (version control, testing, code reviews)