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Data Scientist - IA Sr

1 hour, 15 minutes ago
Mexico
Full-time
Senior
AI Engineer
Data Science and Analytics
Agile Azure CI/CD Deep Learning Git LLM Machine Learning MLOps Pandas Python PyTorch Scikit-learn TensorFlow
Apply Now
NEORIS

NEORIS

NEORIS is a leading global IT consulting company specializing in nearshore outsourcing services and SAP solutions, empowering companies to innovate through digital transformation.

Internet Software & Services
5K-10K
Founded 2000
View All Jobs 82

Description

  • Design and develop advanced machine learning and deep learning models.
  • Analyze large volumes of structured and unstructured data to generate valuable insights.
  • Implement data pipelines and deploy models on Azure.
  • Apply MLOps best practices, including CI/CD, versioning, and monitoring.
  • Evaluate and optimize model performance using robust metrics.
  • Build executive dashboards to communicate results to business stakeholders.
  • Translate technical solutions into measurable business impact.
  • Collaborate with multidisciplinary teams using agile methodologies.

Requirements

  • Strong experience with Python, including pandas, scikit-learn, PyTorch, or TensorFlow.
  • Experience developing machine learning and deep learning models.
  • Experience with LLMs, including RAG, embeddings, and prompt engineering.
  • Experience with Azure services such as Functions and AI Search; Azure ML is preferred.
  • Experience with MLOps practices, including CI/CD, versioning, and model monitoring.
  • Experience working with structured and unstructured data.
  • Experience with agile methodologies.
  • 5+ years of experience in Data Science or ML Engineering roles.
  • High degree of technical autonomy.
  • Strong results orientation.
  • Experience working with business stakeholders.

Benefits

  • 100% nominal compensation structure.
  • Statutory benefits.
  • Benefits package.
  • Professional development plan.
  • Multicultural collaboration environment.

Interested in this position?

Apply directly on the company website

Apply Now

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