Remote Machine Learning Engineer — Scalable ML Pipelines

Stateside; Poland; Remote; PLN 180,000 - 320,000; Full time

Job summary

Stateside is seeking a highly skilled Machine Learning Engineer to join our AI and data science team in a remote role. You will design, develop, and deploy ML models and pipelines powering data-driven solutions across the organization, collaborating with data scientists, software engineers, and product teams to deliver intelligent systems at scale.

You will work on classification, regression, recommendation, NLP, and time-series tasks, building scalable pipelines, and deploying models with MLOps

Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field (Ph.D. a plus).
• 3–5+ years of hands‑on experience building machine learning models in production.
• Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Experience with ML pipeline tools (e.g., Airflow, Kubeflow, MLflow).
• Familiarity with cloud services (AWS, GCP, or Azure) and model deployment.
• Solid understanding of statistics, data structures, and algorithms.
• Experience with version control (Git), containerization (Docker), and CI/CD for ML.

Responsibilities

• Design and implement machine learning models for classification, regression, recommendation, NLP, or time-series forecasting tasks.
• Develop, test, and maintain scalable ML pipelines for training, validation, and inference.
• Collaborate with data engineers to build efficient data ingestion and feature extraction systems.
• Optimize model performance using techniques like hyperparameter tuning, cross-validation, and regularization.
• Deploy models to production using MLOps practices with tools like MLflow, TFX, or SageMaker.
• Monitor and maintain the health of deployed models, updating them as needed.
• Document ML experiments, metrics, and decisions.
• Work closely with cross-functional teams to identify machine learning opportunities and define technical solutions.

Skills

Python

Model deployment

MLOps

Cross-functional collaboration

Hyperparameter tuning

Education

Bachelor's or Master's in CS/ML/Data Science

PhD a plus

Tools

scikit-learn

TensorFlow

PyTorch

Airflow

Kubeflow

MLflow

AWS

GCP

Azure

Git

Docker

Job description

Stateside is seeking a highly skilled Machine Learning Engineer to join our AI and data science team in a remote role. You will design, develop, and deploy ML models and pipelines powering data-driven solutions across the organization, collaborating with data scientists, software engineers, and product teams to deliver intelligent systems at scale.

You will work on classification, regression, recommendation, NLP, and time-series tasks, building scalable pipelines, and deploying models with MLOps