Full-Time Senior Machine Learning Engineer (Remote)

You will join our global Machine Learning and Data Science unit - a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of country-specific linguists. As a Senior Machine Learning Engineer in the Noa ML team you will take ownership of end-to-end ML capabilities. You will be expected to drive technical excellence, champion best practices across the team, and actively shape our evolving ML tech stack and workflows.

What you will be doing

• Take technical leadership of ML initiatives, working closely with scientists, engineers, and product stakeholders to deliver AI-driven solutions.
• Design, deploy and iterate over ML services for diverse data types (e.g., audio, text), while proactively anticipating performance bottlenecks driving continuous improvements.
• Brainstorm and design technical roadmaps in partnership with the AI Platform team, identifying and addressing platform and MLOps bottlenecks, and designing scalable GPU optimization strategies.
• Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex, multilingual product environments; champion industry-leading frameworks and evangelize their adoption across the organization.
• Lead efforts to improve team effectiveness by evolving internal frameworks, optimizing workflows, and fostering a culture of operational excellence.
• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling.

Requirements:

• 5+ years of professional experience as an ML[Ops] Engineer.
• Proven track record of delivering impactful ML initiatives.
• Demonstrated expertise in production-grade MLOps, leveraging, for example, orchestration with Kubernetes, model serving via FastAPI, NVIDIA Triton and KServe, Apache Airflow for data pipelines.
• Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance.
• Knowledgeable in prompt engineering, basis of agent‐based workflows, and the generation and manipulation of embeddings.
• Strong collaboration and communication skills.
• Experienced in mentoring and guiding other engineers.

What is the last date for applying to the job?

Which countries are accepted for this remote job?