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Machine Learning Engineer

1 month, 3 weeks ago
Spain
Full-time
Junior
Machine Learning Engineer
Software Development
AWS Azure Feature Engineering GCP LLM Machine Learning MLOps NLP NLTK Python PyTorch spaCy TensorFlow
Apply Now
Twilio

Twilio

Twilio is a cloud communication company that offers Communication APIs for SMS, Voice, Video, and Authentication, empowering developers to embed communication capabilities into their software applications globally.

Diversified Telecommunication Services
5K-10K
Founded 2008
View All Jobs 84

Description

  • Design machine learning solutions that are accurate, performant, secure, and scalable.
  • Build and maintain end-to-end AI/ML pipelines from data ingestion and feature engineering through model development, validation, and deployment.
  • Support production inference services by instrumenting metrics, logging, and telemetry to monitor model performance and operational health.
  • Participate in on-call rotations and execute progressive rollouts with standard mitigation strategies to keep services healthy.
  • Collaborate in planning, design, and code review discussions across product and technical workstreams.
  • Contribute to higher code quality by providing thoughtful review feedback.
  • Develop and deploy ML services and features in a collaborative engineering environment.
  • Work alongside senior engineers on complex architectural decisions.

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience.
  • 2+ years of experience in machine learning engineering or applied ML.
  • Demonstrated proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, or JAX.
  • Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
  • Experience developing, testing, and deploying small-to-medium scoped ML services or features.
  • Experience with model versioning, experiment tracking, and cloud infrastructure such as AWS, GCP, or Azure.
  • Proficiency in Python or a similar object-oriented language.
  • Experience using Large or Small Language Models within software systems.
  • Excellent written and verbal communication skills.
  • Preferred: hands-on experience with conversational AI, LLM fine-tuning, and prompt engineering in a production context.
  • Preferred: exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
  • Preferred: familiarity with MLOps/LLMOps tooling for testing, versioning, model registry, retraining, and monitoring.

Benefits

  • Competitive pay.
  • Generous time off.
  • Parental leave and wellness leave.
  • Healthcare coverage.
  • Retirement savings program.
  • Remote-first work from Spain.
  • Occasional travel opportunities for in-person team or project meetings.

Interested in this position?

Apply directly on the company website

Apply Now

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