Senior Machine Learning Engineer (Library)

📋 Description

• Build/productionize LLM/NLP models for retrieval, summarization, and generation.
• Develop optimized embeddings, prompts, and fine-tuning for production systems.
• Design scalable ML services and inference pipelines in Python.
• Integrate models with retrieval systems and knowledge sources with testing and observability.
• Translate complex NLP/LLM requirements into structured engineering plans and milestones.

🎯 Requirements

• 4+ years applying ML in production; NLP/LLM, embeddings, or retrieval.
• Hands-on with transformer models, embeddings, and retrieval-augmented tech.
• Turn prototypes into stable, production-ready solutions.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Experience building APIs/microservices and scalable ML services.
• Strong collaboration with Product/Engineering; customer impact focus.

🎁 Benefits

• Remote-first with flexible hours across India.
• HQ in Canada with hubs in India and the UK.
• MacBook, monthly phone/internet subsidy, home office budget.
• Asynchronous collaboration in a remote-first culture.
• Townhalls, AMA events, and quarterly celebrations.
• Employee Resource Groups and award-winning workplace.