[Remote] Machine Learning Engineer Expert

Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Machine Learning Engineer Expert to build, evaluate, and improve real-world machine learning solutions on a flexible remote contract. The role involves developing end-to-end machine learning solutions, analyzing datasets, and improving model performance through systematic experimentation.ResponsibilitiesDevelop end-to-end machine learning solutions for prediction and modeling problemsAnalyze datasets and choose appropriate modeling approaches, validation strategies, and metricsPerform exploratory data analysis, preprocessing, and feature engineeringTrain, tune, and evaluate models across tabular, text, image, and time-series datasetsBuild strong reference solutions using industry-standard ML techniques and best practicesReview technical quality, document assumptions, and communicate results clearlyImprove model performance through systematic experimentation and iterationSkillsMaster's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university2+ years of hands-on experience developing, training, evaluating, and optimizing ML models in a professional or research settingStrong Python skills and experience with tools such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlowExperience building complete ML workflows, from data preparation through validation and evaluationStrong understanding of evaluation metrics, validation methodologies, and experimental designAbility to work independently on open-ended technical problems and deliver high-quality outputsPhD from a leading research universityExperience at technology companies, AI labs, research institutions, or high-growth startupsCompetitive ML/data science experienceExperience with ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learningPublications, patents, open-source contributions, or experience mentoring/reviewing ML workBenefitsFlexible schedule, with projects that may be extended, shortened, or concluded based on needs and performance.Weekly payments through Stripe or Wise based on services rendered.Company OverviewCrossing Hurdles connects skilled professionals with opportunities across AI training platforms and high-growth companies. It was founded in 2019, and is headquartered in Gurgaon, Haryana, IND, with a workforce of 51-200 employees. Its website is https://www.crossinghurdles.com.