Quantori Career Portal

We are looking for a Senior ML Engineer to design and deliver AI and ML systems across varied projects. Current work includes gathering public web information to enrich internal intelligence, developing AI personas for sandbox simulations, and using Databricks for data and ML experiments. You should be comfortable owning ambiguous problems and choosing practical solutions.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

• 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.

What we expect:

• 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: 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 explain technical decisions clearly.

Nice to have:

• Web scraping, deep search of public sources, information extraction, and 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.

We offer:

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company