Develop and apply sophisticated machine learning models and algorithms

Construct efficient machine learning pipelines with Apache Spark and Databricks

Implement MLOps strategies to improve model deployment and monitoring

Use Microsoft Azure for delivering cloud-based machine learning solutions

Work together with data scientists and business stakeholders to gather and clarify requirements

Evaluate and optimize machine learning models for better accuracy and performance

Minimum three years of experience in machine learning engineering

In-depth knowledge of Apache Spark and Databricks

Hands-on experience with MLOps tools and practices

Proficient in using Microsoft Azure for cloud-based machine learning

Advanced programming ability in Python

Willingness to work PST hours, with availability until 8 pm Kyiv time

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

Experience with Docker and Kubernetes environments

Understanding of LangChain and large language models

Background in natural language processing