Create and implement advanced machine learning models and algorithms

Build robust machine learning pipelines using Apache Spark and Databricks

Utilize MLOps techniques to enhance model deployment and monitoring

Leverage Microsoft Azure for cloud-based machine learning platforms

Collaborate with data scientists and business partners to collect and define requirements

Analyze and refine machine learning models to improve accuracy and efficiency

At least three years of experience in machine learning engineering

Strong expertise in Apache Spark and Databricks

Practical experience with MLOps tools and methodologies

Proficient in Microsoft Azure for cloud machine learning

Advanced skills in Python programming

Ability to work PST hours, available until 8 pm Kyiv time

English language proficiency at B2+ level or higher, both written and spoken

Experience with Docker and Kubernetes

Familiarity with LangChain and large language models

Knowledge of natural language processing