Overview

As an AI/ML Engineer at Pythian, you design, build, and maintain scalable AI/ML pipelines for client and internal use. You deploy and optimize models, including LLMs and Generative AI, across production environments and cloud platforms. You collaborate with data scientists and software engineers to deliver production-ready AI systems, emphasizing performance, cost-efficiency, and maintainability.

This role combines hands-on engineering with shaping AI solutions for transformative outcomes within a cloud-focused services company.

Compensaciones / Ventajas competitive total rewards remote work options training allowance and professional development days wellness budget paid vacation and sick days charitable volunteering day

Responsabilidades Develop, deploy, and maintain AI/ML pipelines for internal and client-driven projects

Deploy, manage, and scale AI models (LLMs and custom models) into production

Translate model prototypes into scalable, production-ready AI systems

Optimize model performance, latency, and cost on cloud platforms

Integrate AI/ML solutions with AWS, GCP, Azure and use Docker/Kubernetes for consistent deployment

Apply MLOps practices: CI/CD, model versioning, monitoring, maintenance





Coordinate with software engineers to embed AI capabilities into applications and workflows

Stay updated on AI/ML tech, Generative AI, and MLOps deployment strategies

Requisitos principales Bachelor's or Master's degree in Computer Science, Engineering, AI or related quantitative field

4 to 5 years of experience in ML engineering or ML/AI-focused software development

1-3 years experience with ADK or other agentic frameworks

Strong Python programming skills

Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Hands-on experience deploying/pre-trained models (LLMs/Generative AI) into production

Cloud platform experience (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes)

Solid knowledge of Data Engineering, ETL/ELT, and Git

Experience with Kubeflow or managed ML tools

Experience building/scaling AI/ML systems

Familiarity with MLOps practices (monitoring, logging, CI/CD)

Strong communication and cross-functional collaboration skills

Strong communication

Team collaboration across cross-functional teams

Problem-solving orientation

Python

TensorFlow

PyTorch

📌 Remote C# Engineer (Valladolid)
🏢 Pythian
📍 Valladolid