Machine Learning Engineer (Remote)

About the role

We are seeking a Machine Learning Engineer to join a client on a contract basis. The position is fully remote, allowing you to work from anywhere while designing, developing, and deploying AI models that address complex business challenges.

Key responsibilities

• Design and implement machine learning models using Python, TensorFlow or PyTorch.
• Collaborate with data scientists and software engineers to integrate models into production environments.
• Build and maintain data pipelines for preprocessing, feature engineering, and model training.
• Optimize models for scalability, accuracy, and efficiency, including hyper‑parameter tuning.
• Apply MLOps practices for monitoring, logging, and continuous integration.

Required profile

• Proficiency in Python and experience with major ML frameworks.
• Strong understanding of data structures, algorithms, and statistical modeling.
• Hands‑on experience deploying models on cloud platforms such as AWS, Google Cloud or Azure.
• Ability to work independently, manage multiple tasks and meet deadlines in a fast‑paced environment.

Required skills

• Python
• TensorFlow
• PyTorch
• AWS, Google Cloud, Azure
• SQL
• Git
• MLOps
• Hyper‑parameter tuning
• Model optimization
• Data preprocessing and feature engineering

What we offer

• Competitive hourly rate ranging from $20 to $90.
• Opportunity to work with a global technology leader on high‑impact AI projects.
• Fully remote work arrangement with flexible hours.