ml engineer in AI and ML systems

Quantori designs and delivers AI and ML systems across varied projects, including public web information enrichment, AI personas for sandbox simulations, and data and ML experiments using Databricks.

• Design, build, and maintain ML and LLM applications, services, and data pipelines;
• Collect and structure information from external sources and connect it with internal data;
• Prototype approaches, evaluate quality, and deploy reliable solutions;
• Plan work independently, resolve technical uncertainty, and communicate progress and risks.

• Strong Python and SQL skills;
• Experience with PyTorch, scikit-learn, or similar ML frameworks;
• Experience across the ML lifecycle, including data preparation, modeling, evaluation, deployment, and monitoring;
• Experience building LLM applications, including prompt design, structured output, RAG or agent workflows, and output evaluation;
• Solid software engineering skills with APIs, Git, automated tests, Docker, and CI/CD;
• Experience with cloud platforms and pipelines for structured and unstructured data;
• Ability to organize work independently, investigate unfamiliar topics, test assumptions, and clearly explain technical decisions;
• Nice to have: web scraping, deep search of public sources, information extraction, monitoring company news or events to enrich proprietary data, AI personas for sandbox simulations including specialist roles such as a physician, Databricks or Spark for data processing and ML experimentation.

• Contract employment;
• Competitive compensation;
• Flexible working hours;
• Continuous education, mentoring, and professional development programs;
• A team with excellent technical expertise.