Senior AI / ML Engineer (WFH) - #34523

Requirements

• 3 to 7 years of experience in systems, infra, or performance engineering roles with strong ownership of metrics and benchmarking
• Fluency in Python and comfort working across full-stack and backend services
• Experience building or using LLMs, vector-based search, or agentic frameworks in production environments
• Familiarity with LLM model serving infrastructure (e.g., vLLM, Triton, Ray, or custom -Kubernetes-based deployments), including observability, autoscaling, and token streaming
• Experience working with model tuning workflows, including prompt engineering, fine-tuning (e.g., LoRA, DPO, or evaluation loops for post-training optimization
• Deep appreciation for measuring what matters — whether itʼs latency under load, degradation in retrieval precision, or regression in AI output quality
• Familiarity with evaluation techniques in NLP, information retrieval, or human-centered AI (e.g. RAGAS, Recall@K, BLEU, etc.)
• Strong product and user intuition — you care about what the benchmark represents, not just what it measures

Advantageous Skills :

• Experience contributing to academic or open-source benchmarking projects