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systems. Responsible for planning, designing, implementing, and managing the infrastructure and operations strategy, architecture, policy, and standards. Oversee cloud migrations and optimization and the
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: Mobile App Development Computer Systems Cloud Computing (specifically with knowledge of AWS) Salary is competitive and additional teaching opportunities are available. For more information about the
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About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one major cloud platform (AWS, GCP, or Azure
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using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker
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%)- The worker will integrate digital twin technologies and third-party cybersecurity tools to enhance platform realism and threat coverage. The responsibilities include provisioning and managing cloud
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and managing cloud infrastructure using Terraform, Argo CD, OpenShift, and similar tools to ensure scalable and secure deployments. The position will also contribute to CI/CD pipeline development and
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines
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major cloud platform (AWS, GCP, or Azure). The Engineer will collaborate with our Data Scientists to architect, deploy, and maintain production-grade AI solutions. As part of the AI Solutions Hub
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Bachelor’s degree in Computer Science, Information Technology, Business, or related field; technical certifications in relevant areas (e.g., cloud platforms, business analysis, AI/ML, digital solutions
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, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type Academic Position Type Academic