Ml Ops Engineer

Become part of a team to help a large government agency support transformative biomedical and health breakthroughs. CGI Federal is seeking a ML Ops Engineer to support advanced research projects that will provide healthcare solutions for all.
***This is a hybrid role requiring 2 days onsite/week ***

• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics or a related technical or scientific field with a minimum of 3-5 years of experience in ML Ops and 10-15 years over experience in software development.
• Experience in managing machine learning lifecycle including model deployment, monitoring, and maintenance.
• Proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud services (e.g., AWS, GCP, Azure).
• Experience with data engineering and pipeline development. Knowledge of advanced analytics and big data technologies.
• Strong background in software engineering practices.
Preferred qualifications
• Experience with healthcare datasets and familiarity with clinical data standards (e.g., FHIR, HL7).
• Collaboration on government or healthcare AI research projects.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to: skill set level; experience and training; and licensure and certifications. CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,200 - $213,800.
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