Job Discription:
- 5+ years of experience in cloud platforms (AWS, Azure, or GCP) and their AI/ML and data engineering service offerings.
- 1+ year focused on AI/ML systems and data pipeline support.
- Technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering)
- MLOps Experience: Demonstrated experience in operationalizing and maintaining machine learning models in production environments, including deployment, monitoring, and lifecycle management.
- System Monitoring: Proficiency in monitoring AI system and data pipeline performance, detecting anomalies, and implementing proactive measures to ensure system reliability and availability. Experience in troubleshooting, diagnosing, and resolving AI system and data infrastructure issues, with the ability to prioritize incidents based on business impact.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.