GenAI & ML Data Scientist — Enterprise Impact (Mexico)

Softtek; México; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Softtek in Mexico is seeking an Engineer to design and develop advanced analytics, machine learning, and applied GenAI solutions that solve complex business problems across client engagements.

The role emphasizes exploratory data analysis, model design and evaluation, GenAI prototyping with LLMs and embeddings, and communicating insights to stakeholders. Consulting experience and cloud fluency are preferred.

Formación

• 3+ years of applied data science experience in enterprise environments.
• Experience designing multiagent solution, different generative frameworks, applying LLMs, embeddings, and prompt engineering techniques
• Strong statistical and modeling background.
• Expertise in Python and ML libraries.
• Ability to translate business needs into analytical solutions.
• Experience working in consulting or client-facing contexts preferred.
• Experience on some of the clouds (AWS, Azure or GCP).

Responsabilidades

• Experience 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 assessment.
• Communicate insights and recommendations to technical and business stakeholders.
• Collaborate with ML Engineers to productionize validated solutions.

Conocimientos

Python

ML libraries

LLMs

Embeddings

Prompt engineering

Statistical modeling

Stakeholder communication

Consulting experience

AWS

Azure

GCP

Educación

Master's degree or PhD in AI/ML/CS

Descripción del empleo

Softtek in Mexico is seeking an Engineer to design and develop advanced analytics, machine learning, and applied GenAI solutions that solve complex business problems across client engagements.

The role emphasizes exploratory data analysis, model design and evaluation, GenAI prototyping with LLMs and embeddings, and communicating insights to stakeholders. Consulting experience and cloud fluency are preferred.