What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance.
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) :

• Expert Python and ML engineering.
• 5 to 8 years in ML engineering or applied AI with delivery in production environments * Strong with LLMs, embeddings, RAG, and classical ML models. * Skilled in data analysis, feature engineering, and evaluation. * Experience building and scaling pipelines. * Strong cloud deployment background. * Able to quantify business impact and guide decisions. * Strong communication and mentoring ability. * Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options