Software Engineer

      Architect & Innovate: Design, deploy, and maintain high-performance machine learning pipelines tailored to support mission-critical AI Technologies initiatives.

·       Automate & Optimize: Drive operational efficiency by automating routine tasks and building robust CI/CD pipelines to streamline deployment workflows.

·       Collaborate Cross-Functionally: Partner closely with Data Scientists, Software Engineers, and Infrastructure/Operations teams to integrate AI-driven intelligence into existing IT ecosystems seamlessly.

·       Analyze & Interpret: Evaluate complex network performance data to uncover actionable trends, detect anomalies, and identify strategic opportunities for system optimization.

·       Ensure System Reliability: Develop and manage proactive monitoring and alerting frameworks to maintain peak system health.

·       Resolve & Refine: Troubleshoot and remediate complex issues within AI Technologies environments, ranging from configuration challenges to systemic service disruptions.

·       Measure Success: Track and report on key performance indicators (KPIs) to quantify the business impact and efficacy of AI Technologies implementations.

·       Stay Ahead of the Curve: Continuously explore emerging advancements in AI and machine learning, applying cutting-edge technologies to drive perpetual improvement.

Minimum Qualifications

·       Bachelor’s degree in Computer Science, Engineering, or a related field with 2-4 years of relevant experience.

·       Proficiency in scripting languages (e.g., Python) and modern automation frameworks.

·       Proven experience with CI/CD pipelines and infrastructure automation.

·       Solid foundational knowledge of machine learning concepts and their practical application in real-world systems.

·       Strong analytical and problem-solving capabilities with a demonstrated ability to identify trends in complex datasets.

·       Solid experience with Agile development process and ways of working – Jira, Github, Source Control Management.

·       Excellent communication and interpersonal skills, with the ability to thrive in diverse, cross-functional technical teams.