[Remote] Contract: Senior Machine Learning Engineer at Upwork

Candidates must possess strong proficiency in core ML methods, including model architectures, embeddings, and NLP/language models, with expertise in Python and developing clean, reusable code. Familiarity with key ML libraries such as scikit-learn, PyTorch, XGBoost/LightGBM, and Transformers is required, along with expert-level model evaluation and impact assessment skills. Proven experience in deploying ML models to serving environments, proficiency with data/feature pipelines, and operating in cloud environments (AWS, GCP, Azure) are essential. Strong project management and collaboration abilities, including scoping, managing, and delivering projects on time, are necessary, as is the ability to navigate ambiguity and autonomously build ML solutions. Excellent verbal and written communication skills, with proficiency in writing design docs and clearly communicating technical ideas, are also required. Nice-to-have skills include advanced ML expertise in areas like graph methods, anomaly detection, sequence modeling, and generative AI, as well as experience in trust & safety or risk management domains.