Machine Learning Engineer - Computer Vision (Remote)

Role : Machine Learning Engineer

• Location : Remote (Work from Anywhere)
• Job Type : Contract
• Payout : $30 - $160/hour

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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