Machine Learning Engineer

Intryc is a customer experience technology company that evaluates and trains human and AI customer experience agents. The Machine Learning Engineer will design, implement, and optimize LLM-based systems, develop retrieval-augmented generation pipelines, and improve deployed model performance based on customer use cases.

What you'll do:

• Collaborate with the team to design, implement, and fine-tune ML models, focusing on LLM-based systems
• Develop and enhance Retrieval-Augmented Generation (RAG) pipelines for intelligent query processing and knowledge retrieval
• Experiment with and evaluate pre-trained models and fine-tune them for specific tasks
• Work with large-scale datasets to ensure efficient indexing, retrieval, and contextual relevance
• Monitor and improve the performance and scalability of deployed models
• Stay updated with the latest research in LLMs, RAG, and related fields
• Assist in debugging, testing, and deploying machine learning pipelines
• Gather customer feedback and iterate on the models' accuracy based on customer use cases

What they're looking for:

• • Bachelor's degree in Computer Science, Data Science, or a related field
• • Foundational knowledge of machine learning algorithms and model development
• • Understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications
• • Basic knowledge of retrieval systems (e.g., Elasticsearch, FAISS, or vector databases)
• • Familiarity with the RAG paradigm or similar architectures for context-aware systems
• • Proficiency in Python and common ML libraries
• • Strong problem-solving skills and a passion for learning new technologies
• • Experience fine-tuning LLMs for domain-specific applications
• • Exposure to NLP tasks like summarization, translation, and Q&A systems
• • Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

Benefits:

• You’ll get to work with incredible talent in a hot and fast-growing start-up in the Gen AI and LLM space.
• Generous stock options.
• Remote first policy with 25 days of holiday a year plus bank holidays.
• Pension plan.
• Private health insurance.
• We’ll arm you with all of the latest tech equipment.