Senior ML Engineer (AI Research/ Portability)

📋 Description

• Research, design, and implement ML systems for AI portability across environments.
• Build prototypes, evaluation frameworks, and production-ready components for evolving AI agents.
• Develop portable abstractions across models, providers, protocols, tools, and execution
• Build routing systems and optimization for quality, cost, and latency; enable intelligent
• Create evaluation benchmarks to measure AI quality, reliability, safety, and portability.
• Develop scalable memory, context management, retrieval, provenance, and user experiences.

🎯 Requirements

• Strong expertise in ML, large language models, statistical decision-making, or related AI fields.
• Deep knowledge of model routing, AI agents, retrieval systems, memory architectures, evaluation
• Experience building/evaluating modern language-model or agent-based systems with multi-turn
• Proven ability to design, run, and analyze ML experiments with solid statistics.
• Experience formulating research questions, testing hypotheses, and drawing reliable conclusions.
• Knowledge of evaluation methodologies, reproducibility, uncertainty estimation, generalization, and

🎁 Benefits

• Competitive compensation package.
• Career growth opportunities and continuous learning support.
• Flexible working environment with ownership and autonomy.
• Impactful AI research and engineering projects.
• Collaborative culture with international teams.
• Chance to contribute to future AI technologies.