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