TL;DR
Ai Engineer (AI Engineering): Develop and productionize AI/ML-powered products including recommender systems, NLP solutions, and LLM-driven features with an accent on cloud-based ML engineering and scalable deployment. Focus on designing advanced ML models, leveraging Azure cloud architecture, and collaborating with SMEs to innovate and apply latest AI research.
Location: Hybrid in London, United Kingdom
Company
hirify.global is a global RegTech business delivering AI-powered SaaS solutions to simplify regulatory compliance for financial services worldwide.
What you will do
- Develop, improve, and productionise ML and LLM-based features addressing hierarchical classifications, personalized content filtering, and networking heterogeneous text data.
- Deploy scalable ML/DL solutions using primarily Azure cloud architecture.
- Collaborate with subject matter experts to ground research proposals on complex, high-dimensional data.
- Continuously innovate and apply latest AI/ML research to new products and services.
Requirements
- At least two years of professional ML experience, ideally in NLP domain
- Strong understanding of statistical and machine learning techniques and model selection.
- Proficient in writing clear, robust, testable Python code.
- Confident with SQL and NoSQL/graph databases.
- Solid knowledge of data structures, data modelling, and cloud-based software architecture.
- Strong communication skills to explain complex technical concepts across the business
Nice to have
- Experience building and deploying LLM-based agentic solutions in production.
- Understanding of recommender system principles.
- Proven proficiency via GitHub, Stack Overflow, or Kaggle contributions.
- Interest or experience in neurosymbolic AI.
Culture & Benefits
- Global, diverse team with over 700 employees across 19 countries.
- Fast-paced, high-growth environment with a "make it happen" culture.
- Opportunities for personal and professional development from day one.
- Inclusive and equal opportunity employer.
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