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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. Apply Now!

What you’ll do

The Machine Learning Engineer will design, train, and deploy machine learning models to address complex business challenges. They will also develop and maintain scalable ML pipelines and collaborate with teams to integrate models into production systems.

Requirements

Candidates should have proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms for ML deployment and familiarity with MLOps practices are also required.

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• TensorFlow
• PyTorch
• Data Preprocessing
• Feature Engineering
• Model Evaluation
• Cloud Platforms
• AWS
• GCP
• Azure
• MLOps
• CI/CD
• Problem-Solving
• Machine Learning
• Model Governance
• Data Quality