Machine Learning and MLOps Engineer (Mid/Senior)

Quick Facts

• Role: Machine Learning / MLOps Engineer (Mid / Senior)

• Domain: Banking (CRM, marketing, sales)

• Focus: Predictive models, ML/NLP, and production MLOps on GCP

Description

You will develop advanced predictive ML/NLP solutions supporting CRM, marketing, and sales processes for a banking project. The role includes taking models from prototype to production, maintaining ML and MLOps pipelines, and working with large datasets for near real-time use cases. You’ll also contribute to GenAI, hyper-personalization, and R&D.

Responsibilities

• Develop ML/NLP models, deep learning, Transformers, and LLMs using Python and PyTorch

• Design models from prototype to production

• Develop and maintain ML and MLOps pipelines

• Work with large datasets and near real-time data solutions

• Develop solutions on GCP

• Participate in GenAI, hyper-personalization, and R&D projects

• Collaborate with business and IT teams

Requirements

• Experience in predictive modeling, preferably in banking

• Very good knowledge of Python and SQL

• Experience with GCP: BigQuery, Vertex AI, MLflow, Airflow, Dataflow, Dataproc

• Knowledge of Spark / PySpark

• Experience with MLOps and CI/CD for ML models

• Experience working with large datasets

Benefits

• Mid and Senior B2B hourly rates (mid up to 155 PLN net/hour, senior up to 175 PLN net/hour)

• Hybrid work model (2 days per week in the office) in Warsaw