Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

Apache Spark CI/CD Kubernetes Python (Programming Language) Git (Version Control System) PyMOL Control-M (Batch Scheduling Software) Apache Airflow Inventory Monitoring Dev Testing SonarQube Continuous Delivery Software Quality (SQA/SQC) Stakeholder Communications

Other Skills

•
Teamwork
•
Collaboration
•
Communication

Roles & Responsibilities

3+ years of experience in MLOps or AI engineering
Strong Python skills for developing and maintaining AI applications
Experience deploying and managing workloads with Kubernetes
Experience building CI/CD pipelines and ensuring code quality with tools such as GitHub Actions, Sonar, and Fortify, plus testing with Pytest

Requirements:

Develop and maintain AI applications and models using Python; build and expose APIs for AI/ML
Deploy and manage AI workloads using Kubernetes; orchestrate pipelines with Airflow and Control-M; monitor production systems
Perform ETL processes with Python and Spark; ensure data quality and reliability in AI workflows
Ensure code quality and CI/CD pipelines using Git, GitHub Actions, Sonar, and Fortify; conduct tests with Pytest; collaborate with Data Scientists, Product Owners, and CTOs

Job description

Tecdata Engineering, a rapidly growing IT firm, is seeking to hire a MLOps Engineer in Madrid with at least 3 years of experience.

The MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications, bridging the gap between data science and IT operations to improve operational efficiency. This position involves collaboration with various departments to design and implement robust AI solutions.

Develop and Maintain AI Applications:

Implement AI models using Python.
Utilize Kubernetes for deployment and management.
Perform ETL processes with Python and Spark.
Build and maintain APIs related to AI/ML.
Ensure Code Quality and build deployment pipelines:
Use Git and implement CI/CD pipelines using tools like GitHub Actions, Sonar, and Fortify.
Conduct testing with frameworks like Pytest.
Monitor and maintain production projects.
Use orchestration tools like Control-M and Airflow
Collaborate with stakeholders:
Collaborate with Data Scientists, Product Owners, and CTOs.

Why choose TECDATA ENGINEERING?

Because here, your talent is valued and nurtured:

- Work on strategic projects using cutting-edge technologies.

- 23 days of vacation to recharge your batteries.

- Fixed-Term Contract

- Work arrangement (100% remote).

- We provide all the equipment you need to work comfortably.

- Great work environment and dynamic team.

- Competitive salary.

Ready to apply?

APPLY

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