MACHINE LEARNING ENGINEER

Genusjob is seeking a Machine Learning Engineer to build and deploy the intelligence layer behind its products. The role focuses on predictive modeling using large-scale behavioral data, applied LLM development including fine-tuning, and the design of production training and inference pipelines.

Responsibilities:

• You'll build ML that actually ships to customers
• You'll grow, develop and evolve
• You'll take ownership
• You'll have experts at hand
• You'll have experts at hand
• You'll have stability

Requirements:

• 3+ years of experience building and shipping ML models in production (not just prototypes)
• Strong applied ML fundamentals: feature engineering, calibration, leakage avoidance, and honest evaluation - especially on imbalanced and time-series problems
• Hands-on LLM fine-tuning experience (supervised fine-tuning at minimum)
• Fluency in Python and the modern ML stack (e.g. scikit-learn, gradient boosting, pandas/Polars, PyTorch)
• Comfort writing performant SQL over large datasets and working with event/columnar stores and relational databases
• Experience designing training and inference pipelines and the orchestration around them
• A strong sense of ownership and the ability to work autonomously in a remote, async team
• Clear written communication
• At least 4 hours overlap required with CET time zone