Develop and implement machine learning algorithms and models

Create scalable machine learning workflows using Apache Spark and Databricks

Integrate MLOps strategies to improve model deployment and monitoring processes

Utilize Microsoft Azure for cloud-based machine learning operations

Collaborate with data scientists and other stakeholders to understand and define business needs

Evaluate and refine machine learning models to maximize accuracy and efficiency

Minimum three years of experience in machine learning engineering

Expertise in Apache Spark and Databricks

Practical experience with MLOps techniques

Proficient in using Microsoft Azure for cloud machine learning tasks

Advanced skills in Python programming

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

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

Background working with Docker and Kubernetes

Familiarity with LangChain and large language models

Knowledge of natural language processing concepts