Middle ML Engineer (AI)

TL;DR

Middle ML Engineer (AI): Building and maintaining end-to-end ML systems, including data pipelines, model training, and LLMOps tooling with an accent on NLP, RAG, and agentic workflows. Focus on developing production-ready AI solutions, implementing CI/CD for ML, and integrating models into scalable cloud environments.

Location: Must be based in Ukraine (Remote/Hybrid)

Company

A global software development and consulting company specializing in AI and data science solutions.

What you will do

• Implement and maintain end-to-end ML pipelines for data ingestion, feature engineering, and model deployment.
• Build and support LLMOps pipelines using tools like MLflow, Langfuse, or LangSmith to ensure observability and reproducibility.
• Collaborate with cross-functional teams to deliver production-ready solutions for NLP, RAG, and multimodal models.
• Develop agentic systems and multi-agent workflows using frameworks such as LangGraph or CrewAI.
• Manage ML infrastructure, including CI/CD pipelines and cloud environments on AWS, Azure, or GCP.
• Package ML services into real-world applications while maintaining high engineering standards.

Requirements

• At least 2 years of hands-on experience building and deploying ML solutions in cloud production environments.
• Solid proficiency in Python across the ML ecosystem.
• Familiarity with LLMOps, experiment tracking, and workflow orchestration tools like Kubeflow or Airflow.
• Understanding of cloud-based AI/ML services (AWS, Azure, or GCP).
• Master’s degree in Computer Science or a related field.
• English: Upper-intermediate (B2) or higher proficiency required.

Culture & Benefits

• Opportunity to work within a large AI and Data Science Center of Excellence with 170+ experts.
• Flexible work arrangements with options for remote or hybrid work.
• Access to cutting-edge projects in NLP, RAG, and multimodal AI.
• Commitment to equal opportunity and professional growth.