About the position
Oversee the development of software systems relating to cyber defense, cybercrime (e.g., hacking) and personal data, and provide expertise in the design and development of cyber security systems utilizing Machine Learning and data-analytics software. Lead the development of Machine Learning and data-analytics software related to company-product for fraud detection. Oversee the development and adoption of BOT software for process automation using Machine Learning, Data Mining and Data Science techniques. Participate in department-specific and cross-departmental software design and development projects and produce documentation for code/software systems developed. Assist with the Information Assurance and Data Protection (IADP) department's migration to the Azure Cloud computational tools. Perform other duties as needed.
Responsibilities
- Oversee the development of software systems for cyber defense and cybercrime.
- Provide expertise in the design and development of cyber security systems using Machine Learning.
- Lead the development of Machine Learning and data-analytics software for fraud detection.
- Oversee the development and adoption of BOT software for process automation.
- Participate in software design and development projects across departments.
- Produce documentation for developed code/software systems.
- Assist with migration to Azure Cloud computational tools.
- Perform other duties as needed.
Requirements
- Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field required.
- 2 years of experience in job offered or related occupations required.
- 2 years of experience in application development in a cloud environment, focusing on Azure.
- Experience developing and deploying web-based applications and APIs using Azure Virtual Machines, Azure blob storage, and Azure cosmos.db.
- Experience developing applications in cloud services including AWS and Google Cloud.
- Experience developing microservices and containerized applications for big data processing.
- Experience with ETL operations and data integration.
- Experience developing CI/CD pipelines using GitHub Actions or Jenkins.
- Experience developing big data applications using Apache Spark.
- Experience developing data analytics applications using Python and Linux.
