Quik Hire Staffing
Website:
quikforms.com
Company:
https://www.linkedin.com/company/quik-hire-staffing
Seniority: Associate
Industries: Technology, Information and Media, Software Development, and IT Services and IT Consulting
Job details:
- Role: Machine Learning Engineer - AI (Remote)
- 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!
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