Senior Machine Learning Engineer (Predictive Analytics & MLOps)

Описание вакансии

#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: Откликнуться

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