Machine Learning Engineer

Praxis LATAM is hiring

Machine Learning Engineer – Freelance

Full Remote (open to candidates across LATAM)

Contract: Freelance via Praxis (Zeta)

Initial Term:
6 months, strong possibility of extension

Standard ML/Cloud certifications required

Advanced English required

At
Praxis
, we are looking for a highly skilled
Machine Learning Engineer
to join one of our international partners based in the Netherlands. This role requires strong expertise in developing, training, and deploying ML models and scalable AI solutions within high-performance environments.

Key Responsibilities:

• Design, build and optimize machine learning models and advanced algorithms.
• Develop robust and scalable data pipelines.
• Deploy ML solutions into production using modern MLOps practices.
• Work with tools such as TensorFlow, PyTorch, MLflow, Kubeflow, Docker, and Kubernetes.
• Collaborate with distributed, multicultural engineering teams in agile environments.

Requirements:

• Strong proficiency in Python and major ML frameworks.
• Experience with model deployment, CI/CD for ML, and production-grade architecture.
• Hands-on experience with cloud platforms (AWS, GCP or Azure).
• Relevant role certifications (ML, Cloud, TensorFlow, etc.).
• Advanced English communication skills
  is a must.