Senior AI Engineer

LaPieza

México

Presencial

MXN 80.000 - 120.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

A leading company in IT Services is seeking a Senior AI Engineer to design and deploy advanced ML models utilizing Python and Google Cloud tools. The candidate will play a pivotal role in delivering cutting-edge AI solutions while collaborating with technical and executive teams. This full-time position focuses on leveraging advanced techniques in ML, including Vector Search and Large Language Models, to enhance company offerings.

Formación

  • 7+ years of experience designing, developing, and deploying ML models.
  • Hands-on experience with Google Vertex AI (AutoML, pipelines, endpoints).
  • Understanding of the full ML lifecycle: training, evaluation, deployment, monitoring.

Responsabilidades

  • Design and implement ML models and solutions.
  • Translate complex ML solutions into clear messages for stakeholders.
  • Collaborate with engineers and data teams to drive AI projects.

Conocimientos

Python
Machine Learning
Communication Skills
Vector Search
Proactiveness

Educación

College Degree

Herramientas

Google Vertex AI
TensorFlow
scikit-learn
PyTorch

Descripción del empleo

Join to apply for the Senior AI Engineer role at LaPieza.

We’re seeking a Senior AI Engineer (L4) with strong Python skills and hands-on experience using advanced ML tools in Google Cloud, especially Vertex AI and Vector Search techniques. The ideal candidate combines deep technical expertise with a proactive mindset and strong communication skills—capable of translating complex ML solutions into clear messages for both technical and executive stakeholders.

Must-Have Requirements:

  • 7+ years of experience designing, developing, and deploying ML models.
  • Proficient in Python for ML (scikit-learn, TensorFlow, PyTorch, etc.).
  • Hands-on experience with Google Vertex AI (AutoML, pipelines, endpoints, etc.).
  • Practical knowledge of Vector Search and Vector Embeddings (e.g., FAISS, Pinecone, Milvus).
  • Understanding of the full ML lifecycle: training, evaluation, deployment, and monitoring.
  • College Degree

Nice to Have:

  • Experience working with Large Language Models (LLMs) or generative AI applications.
  • High proactiveness in identifying opportunities and solving challenges.
  • Strong technical communication skills for collaborating with engineers and data teams.
  • Ability to communicate effectively with executive-level stakeholders.

Location: Mexico & Colombia (Colombian candidates must follow Mexico’s working hours and calendar)

Seniority level
  • Associate
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

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