Senior Machine Learning Engineer (Predictive Analytics & MLOps)

#vacancy
Senior Machine Learning Engineer (Predictive Analytics & MLOps)
Salary: $400 – $6,000 gross/month (Negotiable)
Location: Remote (Worldwide)
Start: ASAP

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.

Tech Stack & Requirements:
• 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.

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.

How to Apply:
To apply, please fill out the candidate form: Показать контакты

#MachineLearning #MLOps #Python #CatBoost #PyTorch #DataScience #Optuna #SHAP #RemoteWork #Hiring