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Analista MLOps – Desarrollo y despliegue de IA

Babel · Stromness

New
🇪🇸 Español
Python SQL Kubernetes Spark Git GitHub Actions Sonar Fortify Pytest Airflow AWS Azure Terraform MLflow Kubeflow Databricks Cloudera Kafka Kibana Dynatrace MongoDB PostgreSQL ElasticSearch S3 LangChain LangGraph CrewAI NLP OCR

Job description

About the role

We are looking for an MLOps Analyst / AI Consultant to develop, deploy and maintain AI solutions in production environments. The role combines software development, automation, operations and close collaboration with data‑science, business and technology teams.

Key responsibilities

  • Develop and deploy AI solutions using Python.
  • Build, containerize and run applications on Kubernetes.
  • Create ETL pipelines with Python and Spark.
  • Design and maintain AI/ML related APIs.
  • Manage source repositories and CI/CD pipelines (GitHub Actions, Sonar, Fortify).
  • Implement automated testing with Pytest.
  • Monitor and operate production AI applications.
  • Orchestrate workflows with Airflow and Control‑M.
  • Collaborate with Data Scientists, Product Owners and CTOs.
  • Contribute to the evolution of the organization’s AI platforms.

Required profile

  • Proven experience developing and maintaining AI‑enabled applications.
  • Strong command of Python, SQL and Kubernetes.
  • Hands‑on experience with Spark, ETL processes and production deployments.
  • Familiarity with Git and CI/CD pipeline concepts.
  • Experience building APIs and writing automated tests.

Required skills

  • Python
  • SQL
  • Kubernetes
  • Apache Spark
  • Git / GitHub Actions
  • Sonar, Fortify
  • Pytest
  • Airflow, Control‑M
  • AWS or Azure
  • Terraform
  • MLflow, Kubeflow, Databricks, Cloudera
  • Kafka
  • Kibana, Dynatrace
  • MongoDB, PostgreSQL, ElasticSearch, S3
  • LangChain, LangGraph, CrewAI
  • Power BI, NLP, OCR

What we offer

  • A collaborative, innovative environment focused on professional growth.
  • Opportunities to work on cutting‑edge AI projects within a multinational consultancy.
  • Commitment to diversity, equity and inclusion.
  • Supportive team culture that values talent and continuous learning.

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Published 3 hours ago

Expires 1 month from now

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