Job Details

Senior Machine Learning Engineer role focusing on predictive analytics and MLOps. Salary $400 – $6,000 gross/month. Remote (Worldwide). Develop and deploy ML models using Python, PyTorch, MLflow, and FastAPI.

Join our AI team to build and optimize predictive models. You will focus on classical ML, feature engineering, and taking models from experimentation to production. Responsibilities: • Develop and train predictive models (classification, regression, time-series). • Perform advanced feature engineering and handle imbalanced datasets. • Tune hyperparameters using Optuna and explain model decisions with SHAP. • Manage the full ML lifecycle using MLflow (from training to deployment). • Package and deploy models into production via FastAPI. • Collaborate with data engineers to optimize data flows for training.

• Core Stack: Python, pandas, polars, pyarrow, numpy, scipy. • ML Libraries: CatBoost, PyTorch, imbalanced-learn, tabpfn. • Optimization & Explainability: Optuna (hyperparameter tuning), SHAP (model interpretability). • MLOps: MLflow (experiment tracking, model registry, versioning). • Deployment: FastAPI (serving models as APIs). • Data Handling: Experience with large datasets and feature stores.

Salary: $400 – $6,000 gross/month (Negotiable) Location: Remote (Worldwide) Start: ASAP