Radley James

Machine Learning Engineer

Posted: 4 minutes ago

Job Description

🤖 Machine Learning & AI Engineer for Cloud | Remote | Up to €5,000/month (B2B)We’re looking for a Machine Learning & AI Engineer to join a cloud-focused team developing and deploying next-generation AI solutions on AWS. You’ll work on real-world projects involving LLMs, RAG pipelines, and AI agents, shaping scalable and production-ready ML systems.What you’ll do:Develop, train, and deploy ML models using AWS SageMaker and other cloud frameworks.Build and operate real-time and batch inference systems (SageMaker Endpoints, EKS).Design LLM/RAG architectures including retrieval pipelines, vector stores, and prompt management.Create reusable AI components, automate model evaluation and deployment pipelines.Implement AI Agents and multi-agent systems using modern frameworks.Tech stack:Python, AWS SageMaker Studio, MLflow, PyTorch/TensorFlow, Docker/Kubernetes, Redshift/Aurora, RAG stack (OpenSearch, pgvector), and API integrations.Why join:Work on cutting-edge AI and cloud projects with global impact.Fully remote from Poland, flexible working environment.Competitive B2B contract – up to €5,000/month.Collaborative, engineering-driven culture with opportunities to learn and innovate.If you’re passionate about AI infrastructure, scalable ML systems, and cloud automation, we’d love to hear from you!

Job Application Tips

  • Tailor your resume to highlight relevant experience for this position
  • Write a compelling cover letter that addresses the specific requirements
  • Research the company culture and values before applying
  • Prepare examples of your work that demonstrate your skills
  • Follow up on your application after a reasonable time period

You May Also Be Interested In