Full-Time Senior Machine Learning Engineer (Remote)

• Take technical leadership of ML initiatives
• Design, deploy and iterate over ML services for diverse data types
• Brainstorm and design technical roadmaps in partnership with the AI Platform team
• Research, architect, and deploy LLM-powered information retrieval solutions
• Lead efforts to improve team effectiveness by evolving internal frameworks
• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling.

• 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 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

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