Create and deploy advanced machine learning models and algorithms

Build scalable machine learning pipelines leveraging Apache Spark and Databricks

Implement MLOps strategies to enhance model deployment and monitoring

Use Microsoft Azure for delivering cloud-based machine learning solutions

Collaborate with data scientists and business stakeholders to gather and clarify requirements

Assess and refine machine learning models to achieve higher accuracy and performance

Minimum three years of experience in machine learning engineering

Strong expertise in Apache Spark and Databricks

Hands-on experience with MLOps practices

Proficient in using Microsoft Azure for cloud-based machine learning

Advanced proficiency in Python programming

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

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

Background with Docker and Kubernetes

Experience with LangChain and large language models

Understanding of natural language processing