Senior ML Research Engineer, expert in designing, scaling, evaluating, and deploying state-of-the-art multimodal transformer models for embeddings-based retrieval. Translates academic research into high-performance production infrastructure, delivering A/B-validated models for high-scale e-commerce environments. Orchestrates distributed multi-GPU training with LLM-driven synthetic data pipelines. Optimizes complex RAG and tool-use environments for agentic AI systems. Diverse domain expertise spanning clinical decision support systems in healthcare to ML-aided anomaly detection and log analytics. Published NLP researcher (including research on CX automation) with a rigorous background in theoretical physics.
Remote: yes
Willing to relocate: no
Technologies:Python, PyTorch, PyTorch Lightning, transformers, HuggingFace, XGboost, Jupyter, MLFlow, Docker, Google Cloud Platform, BigQuery (parallel compute), pandas, numpy, scipy, sklearn, FAISS, Vertex AI, Vertex Pipelines (Kubeflow), Google GenAI SDK, Google Agent Development Kit, git, GitHub Actions (CI/CD), Copilot, langfuse, Java
Résumé/CV: https://docs.google.com/document/d/1iGElqu5-7vJPa6eql8tJbbUd...
Email: ola@mroja.net
Senior ML Research Engineer, expert in designing, scaling, evaluating, and deploying state-of-the-art multimodal transformer models for embeddings-based retrieval. Translates academic research into high-performance production infrastructure, delivering A/B-validated models for high-scale e-commerce environments. Orchestrates distributed multi-GPU training with LLM-driven synthetic data pipelines. Optimizes complex RAG and tool-use environments for agentic AI systems. Diverse domain expertise spanning clinical decision support systems in healthcare to ML-aided anomaly detection and log analytics. Published NLP researcher (including research on CX automation) with a rigorous background in theoretical physics.