About the Role

We are looking for a Senior Machine Learning Engineer to join our growing Data & AI team. In this role, you will play a key part in designing, building, and maintaining robust, scalable data extraction pipelines from client projects, as well as deploying and orchestrating machine learning models in production environments.

You will be responsible for automating end-to-end data workflows, from raw client data ingestion to feature engineering and model execution.

Key Responsibilities

• Design, develop, and maintain scalable data extraction and ingestion pipelines from diverse client sources (APIs, databases, documents, web scraping, etc.)
• Automate ETL/ELT processes with a focus on reliability, monitoring, error handling, and data quality
• Build and optimize MLOps pipelines for training, validation, deployment, and monitoring of machine learning models
• Work closely with tech teams to understand client data requirements and translate them into automated, production-grade solutions
• Monitor pipeline performance, troubleshoot issues, and continuously improve efficiency and scalability
• Mentor junior engineers and promote best practices in software engineering and MLOps

Requirements

• Experience: 5+ years of hands-on experience as a Machine Learning Engineer, Data Engineer, or Backend Engineer with strong ML focus

Nice to Have

• Experience with document parsing, OCR, or unstructured data extraction
• Knowledge of LLMOps / RAG pipelines
• Previous experience in consulting or client project environments
• Knowledge of Spark, Databricks, or other big data technologies

What We Offer

• Hybrid working model
• Collaborative and innovative team culture
• Possibility to be part of FULLVENUE's Employee Stock Option Plan