Requirements:
Bachelor s degree in information technology, software engineering, computer science or related fields
Minimum of 6 to 8 y ea r s experience in Spark, Kubernetes, Containerization ( Docker ) .
Familiarity with Machine Learning based a lgorithms and life cycle .
Significant coding skills in Python, with other languages being a major plus.
General k nowledge on data engineering (Data Analytics) , machine learning platforms , and cloud data stores and data-processing.
Must have worked in a cloud-based ecosystem like AWS (EKS, Route53, ELB / ALB , Cloud Watch, S3, ES-Kibana ) , or GCP / Azure.
Databases: RDS
Exceptional problem-solving and analytical abilities.
Expert hands-on experience and knowledge of current cloud frameworks, SDKs, APIs, and libraries.
Hands-on k nowledge on dashboards like Tableau .
Experience on CI-CD: Terraform, Ansible , and Jenkins .
Responsibilities:
Deliver best-in-class machine-learning automation to deliver security protection in a variety of attack domains.
Designing, creating, and implementing solutions using the latest technology stack s .
Interpreting briefs to create high-quality coding that functions according to specifications.
Determining application functions and building objectives with the team.
Ensuring that written code falls in line with the project objectives.
Problem solving with other team members in the project.
Identifying and resolving immediate and potential issues with applications.
Drafting detailed reports on the work performed and projects completed.
Participating in group meetings to discuss projects and objectives.
Work as a team player and assist developers with troubleshooting, debugging, and coding.
Meeting deadlines on fast-paced deliverables
Good organizational and time-management skills.
Meticulous at both analysis and execution
Keyskills: Software design Automation Coding Diversity and Inclusion Machine learning Cloud Debugging Troubleshooting Information technology Python