About the role
structured by ORI- Role: Senior Machine Learning Engineer (Remote) - Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-Time basis. The role involves designing, developing, and deploying machine learning models to solve complex problems.
What you will do
- Design and implement machine learning models using Python, TensorFlow, and PyTorch.
- Develop scalable data pipelines to support model training and inference.
- Optimize models for performance, accuracy, and latency in production environments.
- Collaborate with software engineers to deploy models as APIs or microservices.
- Monitor model performance and retrain systems as needed to maintain accuracy.
What they are looking for
- 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 including AWS, GCP, or Azure for model deployment.
- Familiarity with MLOps practices, including CI/CD for machine learning workflows.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Full posting text
Role: Senior Machine Learning Engineer (Remote)
Location: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-Time basis. The role involves designing, developing, and deploying machine learning models to solve complex problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.
Key Responsibilities:
- Design and implement machine learning models using Python, TensorFlow, and PyTorch.
- Develop scalable data pipelines to support model training and inference.
- Optimize models for performance, accuracy, and latency in production environments.
- Collaborate with software engineers to deploy models as APIs or microservices.
- Monitor model performance and retrain systems as needed to maintain accuracy.
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 including AWS, GCP, or Azure for model deployment.
- Familiarity with MLOps practices, including CI/CD for machine learning workflows.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative 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 the development of cutting-edge AI solutions. You will have the chance to influence high-impact projects that drive innovation.
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!
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology, Engineering, and Research
Industries: Software Development, Technology, Information and Media, and Data Infrastructure and Analytics