Technical Lead, Artificial Intelligence

📋 Description

• Define the end-to-end architecture for AI/ML systems, including agent orchestration, model serving
• Drive technical decisions around models, frameworks, deployment strategies, and build-vs-buy
• Prototype and implement critical components while setting engineering and code-quality standards.
• Lead AI solutions from prototype to production, including CI/CD, monitoring, model lifecycle
• Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on
• Mentor engineers through architecture discussions, design reviews, and code reviews.

🎯 Requirements

• 7+ years of experience in software or ML engineering, with significant experience delivering
• Proven technical leadership and experience owning the architecture of complex systems end to end.
• Strong Python skills and hands-on experience with PyTorch or similar ML frameworks.
• Practical experience with LLM-based systems, including agents, tool calling, RAG, orchestration
• Strong understanding of classical ML, including time-series analysis, anomaly detection, and
• Working knowledge of 4G/5G RAN architecture, L1/L2/L3, network KPIs, and cellular network