Remote AI/ML Engineer at Turing

Turing is hiring experienced AI/ML engineers to join its global network of remote talent, working on a wide variety of high-impact projects spanning classification, predictive modeling, and optimization use cases for its diverse client base of fast-growing startups and enterprise organizations. In this role, you will collaborate with cross-functional teams of engineers, data scientists, and product managers to design, build, train, and deploy scalable, production-ready machine learning models that solve real-world business challenges across industries including e-commerce, fintech, healthcare, and SaaS. You will have access to cutting-edge AI tools and resources to support your work, and will be responsible for iterating on model performance, troubleshooting issues, and ensuring models meet business requirements and performance benchmarks. This fully remote role offers flexible scheduling, competitive compensation aligned with top US tech market rates, and the opportunity to build your career with a leading global talent platform that connects top engineering professionals with innovative companies worldwide. You will have the autonomy to work on projects that align with your expertise and interests, while receiving support from Turing's talent team to help you grow your skills and advance your career.

• 3+ years of professional experience as an AI/ML engineer, data scientist, or similar role, with a proven track record of building and deploying production-grade machine learning models
• Strong expertise in developing models for classification, prediction, and optimization problems, with a deep understanding of core machine learning concepts and algorithms
• Proficiency in popular ML frameworks and libraries including TensorFlow, PyTorch, scikit-learn, and related tools for model development and experimentation
• Advanced proficiency in Python for ML development, with familiarity with SQL for data extraction and manipulation, and experience with cloud platforms (AWS, GCP, Azure) for model deployment
• Strong English written and verbal communication skills to collaborate effectively with distributed cross-functional teams and stakeholders
• Ability to work independently in a fully remote environment, with strong time management, problem-solving, and self-motivation skills
• Bachelor's or higher degree in Computer Science, Data Science, Machine Learning, or a related technical field (or equivalent practical experience)