7 дней назад
Machine-Learning Programmer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine-Learning Programmer (AI) (RAG/LLM): Leading the development of DocGPT’s information-retrieval pipelines and LLM integrations with an accent on semantic indexing, vector search, reranking, evaluation, and multi-tenant context management. Focus on defining technical standards, improving response quality, evolving agent-based capabilities, and mentoring ML engineers.
Location: Office-based in Montreal, Canada, or Chengdu, China
Company
is a global video game company creating original gaming experiences across teams in more than 30 countries.
What you will do
- Lead the technical direction of DocGPT’s retrieval pipelines, including chunking, semantic indexing, vector search, and reranking.
- Define evaluation standards, datasets, and quality metrics for AI-generated responses.
- Design the integration of large language models in a multi-tenant environment, including context management, prompt engineering, cost control, and agent-based capabilities.
- Identify architectural limitations and propose improvements before they affect users.
- Mentor junior and mid-level team members on machine-learning practices and experimental rigor.
- Act as a technical point of contact for client teams and stakeholders on AI topics.
Requirements
- 5+ years of experience in applied machine learning for production information-retrieval systems or NLP.
- Strong Python skills and experience with LangChain, LlamaIndex, and HuggingFace Transformers.
- Experience with RAG architectures, embedding models, vector databases, and cross-encoder reranking.
- Experience with LLM APIs such as Claude and OpenAI GPT, plus advanced prompt engineering techniques.
- Experience with RAG evaluation frameworks, MRR/NDCG metrics, and evaluation dataset development.
- Familiarity with AWS, Databricks, MLflow, Feature Store, containerized environments, and technical leadership.
Culture & Benefits
- Collaborative workplace focused on creativity, professional growth, learning, and well-being.
- Inclusive environment committed to diversity and equal opportunity.
- Benefits package supporting employee well-being.
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