Machine Learning Engineer - AI (Remote)
Pubblicato il 03-10-2026 - Hire Feed in Padova
- Role: Machine Learning Engineer - AI (Remote)
- Location: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.
Key Responsibilities:
- Design, train, and deploy machine learning models to solve complex business problems.
- Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
- Collaborate with data engineers and software developers to integrate models into production systems.
- Monitor model performance, troubleshoot issues, and implement improvements.
- Ensure compliance with data governance and security standards in model development.
Required Skills & Qualifications:
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
- Familiarity with MLOps practices and CI/CD pipelines for model deployment.
- Strong problem-solving skills and ability to work in a fast-paced environment.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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