MACHINE LEARNING ENGINEER

Genusjob is seeking a Machine Learning Engineer to enhance their product intelligence by leveraging behavioral data from numerous businesses. The role involves building and deploying machine learning models, ensuring they deliver actionable insights to customers.

Responsibilities:

• We’re looking for a Machine Learning Engineer to help us build the intelligence layer behind our products - turning the behavioral data of over a million businesses into predictions and actions that help our customers reach the right people, at the right time, on the right channel, without needing a full marketing team
• You’ll work across the full ML spectrum: classical predictive models on large-scale behavioral data and applied LLM work, including fine-tuning models on our own data to power a goal-driven assistant
• 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 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