Candidate must possess or currently pursue a Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or equivalent.
Basic understanding of machine learning concepts, data processing, and model training workflows.
Familiar with programming languages such as Python, Java, or Golang.
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Event Planning & Execution: Assist Project Managers with the planning, coordination, and execution of business events, ensuring they align with client goals and meet deliverable standards.
Client Management: Manage client relationships by handling inquiries, providing updates, and addressing concerns with professionalism and precision.
Client Servicing Support: Support the Project Manager in client servicing by ensuring client requirements and requests are continually updated, and that deliverables meet or exceed client expectations.
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Minimum 5–8 years of experience in software development with strong hands-on expertise in .NET / C#, backend development, system architecture, and distributed systems.
Strong technical experience in Linux server administration, system troubleshooting, kernel/network performance tuning, and high availability environments.
Proven experience diagnosing complex issues across application, infrastructure, database, and network layers using debugging, profiling, monitoring, and log analysis tools.
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An Automation & Logic Master: You have deep, hands-on experience building multi-step automations using Claude and Perplexity, or similar workflow platforms. You don't just use software web interfaces; you understand how systems talk to each other via APIs and webhooks.
A Creative & Technical Hybrid: You easily understand agency culture, social media trends, content pipelines, and marketing intent—but you are equally comfortable reading software documentation, setting up logical conditional rules, handling structured data, or debugging a broken data relay.
Data & System Fluent: You have a natural instinct for organized structures. You are a wizard with structured data environments (Notion databases, Airtable, or advanced Google Sheets) and understand how to cleanly push and pull data across multiple platforms.
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