Machine Learning Engineer

This is a remote position.

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity – supporting industries like Telecom, Banking, and Hi-Tech.

Are you passionate about machine learning and looking to work on advanced AI solutions with impact across multiple industries?

We’re currently seeking an ML Engineer to join a long-term consulting project focused on AI-powered automation, multi-agent LLM orchestration, and scalable machine learning deployments.

What you will do:

• Design and build ML models and data pipelines using Python, TensorFlow/PyTorch, and Spark
  
• Develop multi-agent LLM workflows and scalable inference mechanisms
  
• Implement and optimize ETL and feature engineering processes
  
• Package services using Flask/FastAPI, Docker, and deploy via Kubernetes
  
• Work closely with architects and DevOps to ensure security, reliability, and scalability
  
• Monitor training/inference through robust logging, alerting, and dashboarding
  
• Document architectures and APIs clearly and thoroughly
  

Requirements

• 6+ years of experience in ML engineering or Python-based data engineering
  
• Strong skills in Python, Spark/Pandas, TensorFlow or PyTorch
  
• Hands-on experience with LLMs and multi-agent orchestration
  
• Proven track record in building scalable pipelines and production-ready systems
  
• Solid understanding of REST APIs, microservices, Docker, Kubernetes
  
• Experience with SQLAlchemy or other ORMs, and relational databases
  
• Fluent English - written and spoken

Nice to Have

• Experience with AWS, Azure, or GCP, and IaC tools like Terraform
  
• Familiarity with computer vision or Document Intelligence
  
• Background in regulated industries (banking, healthcare, pharma)
  
• Automation skills in Bash, Ansible, and CI/CD

Benefits

• Fully remote work environment
  
• International, innovation-driven projects with high autonomy and modern tech stack
  
• Comprehensive medical care