Analista MLOps – Desarrollo y despliegue de IA

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.