Machine Learning Engineer

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

  
  

What we are looking for:

• Min. 3+ 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

What we offer:

• Fully remote work environment

• International, innovation-driven projects with high autonomy and modern tech stack

• Comprehensive medical care