What are the responsibilities and job description for the Machine Learning Engineer Sr - Contractor position at System One?
Position Title: Machine Learning Engineer Sr
Position Location: hybrid - 3 days in office, 2 remotely
Pittsburgh PA/Cleveland OH/ Birmingham AL/Farmers Branch TX/Phoenix AZ
Position Duration: 3 Months Contract
Roles and Responsibilities:
• Research, develop, and implement machine learning algorithms for use in software and hardware applications.
• Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
• Analyze and review enhancement requests and specifications.
• Implement changes to algorithms to improve performance.
• Troubleshoot problems to improve user experience.
• Provide quality assurance reviews
• Perform post-implementation validation of machine learning models and resolve any bugs found during testing
Must Have Technical Skills:
• AWS SageMaker implementation experience
• MLOps pipeline development
• CI/CD for ML workflows
• Python programming
• ML framework experience (TensorFlow/PyTorch)
• Hybrid cloud architecture
• Git version control
• MLflow or similar experiment tracking
Flex Skills/Nice to Have:
• MLflow based model experiment tracking and model serving
• Kubeflow implementation
• Apache Airflow orchestration
• Terraform/CloudFormation
• DVC for data versioning
• Feature store implementation or integration with MLOps systems
Education/Certifications: Bachelors in computer science, engineering, or related field
• AWS Certified Machine Learning - Specialty
• AWS Solutions Architect certification
• AWS Certified DevOps Engineer - Professional
• Additional Data Science and LLM focused certification will be a plus
Please apply to the job posting if you have the relevant skills and experience and our team will get in touch with you.
#LI-RS1
#M1
Ref: #404-IT Pittsburgh
Position Location: hybrid - 3 days in office, 2 remotely
Pittsburgh PA/Cleveland OH/ Birmingham AL/Farmers Branch TX/Phoenix AZ
Position Duration: 3 Months Contract
Roles and Responsibilities:
• Research, develop, and implement machine learning algorithms for use in software and hardware applications.
• Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
• Analyze and review enhancement requests and specifications.
• Implement changes to algorithms to improve performance.
• Troubleshoot problems to improve user experience.
• Provide quality assurance reviews
• Perform post-implementation validation of machine learning models and resolve any bugs found during testing
Must Have Technical Skills:
• AWS SageMaker implementation experience
• MLOps pipeline development
• CI/CD for ML workflows
• Python programming
• ML framework experience (TensorFlow/PyTorch)
• Hybrid cloud architecture
• Git version control
• MLflow or similar experiment tracking
Flex Skills/Nice to Have:
• MLflow based model experiment tracking and model serving
• Kubeflow implementation
• Apache Airflow orchestration
• Terraform/CloudFormation
• DVC for data versioning
• Feature store implementation or integration with MLOps systems
Education/Certifications: Bachelors in computer science, engineering, or related field
• AWS Certified Machine Learning - Specialty
• AWS Solutions Architect certification
• AWS Certified DevOps Engineer - Professional
• Additional Data Science and LLM focused certification will be a plus
Please apply to the job posting if you have the relevant skills and experience and our team will get in touch with you.
#LI-RS1
#M1
Ref: #404-IT Pittsburgh
