Senior ML Engineer (AI)

TL;DR

Senior ML Engineer (AI/LLMOps): Engineering and productionizing end-to-end ML systems, including LLMOps infrastructure and agentic multi-agent workflows, with an accent on NLP, RAG, and multimodal AI. Focus on building autonomous AI applications, optimizing CI/CD/CT pipelines for ML, and orchestrating complex workflows at scale.

Location: Remote or Office in Bulgaria or Romania

Company

A global AI and Data Science Center of Excellence with over 170 experts focusing on applied research and real-world delivery.

What you will do

• Design and implement end-to-end ML pipelines from data ingestion and feature engineering to production deployment.
• Build and maintain LLMOps pipelines using MLflow, Langfuse, LangSmith, or Weights & Biases for observability and versioning.
• Develop agentic systems and multi-agent workflows using frameworks like LangGraph or CrewAI.
• Manage ML infrastructure including CI/CD/CT pipelines and cloud environments on AWS, Azure, or GCP.
• Integrate and package ML services into reliable and maintainable production applications.
• Automate and monitor ML pipeline execution using Databricks, Kubeflow, or Airflow.

Requirements

• Minimum 3 years of hands-on experience building and deploying real-world ML solutions in production.
• Strong Python proficiency across the core data science and ML ecosystem.
• Advanced experience with LLMOps, AgentOps, and experiment tracking tools.
• Solid knowledge of CI/CD/CT practices for ML and workflow orchestration tools.
• Proven experience with cloud-based AI/ML services on AWS, Azure, or GCP.
• English: Upper-intermediate (B2) or higher proficiency required.