Machine Learning Eng. (GenAI & Enterprise Systems) Senior

Requirements

Must to have:

5+ years of applied data science experience in enterprise environments.

Strong statistical and modeling background.

Expertise in Python and machine learning libraries.

Experience applying Large Language Models (LLMs), embeddings, and prompt engineering techniques.

Ability to translate business needs into analytical and datadriven solutions

Proven experience delivering ML solutions in enterprise contexts

Strong statistical foundation and experimentation capability

Practical experience applying LLMs beyond theoretical exploration

Ability to connect analytical outcomes with measurable business impact.

Responsibilities

Lead exploratory data analysis and hypothesis‑driven modeling initiatives.

Design, train, and validate machine learning models aligned with business objectives.

Develop evaluation frameworks and define performance metrics.

Prototype and validate GenAI use cases using LLMs and embeddings.

Apply statistical rigor to experimentation and performance assessments.

Communicate insights and recommendations to both technical and business stakeholders.

Collaborate with Machine Learning Engineers to productionize validated solutions.

Required Languages:

Fluent Advanced English 96- 100%

Job location(s):

Hybrid, México.

Senior Data Scientist (Enterprise AI & GenAI)

Job Description