Develop and implement cutting-edge machine learning models and algorithms

Construct scalable machine learning pipelines using Apache Spark and Databricks

Adopt MLOps techniques to improve model deployment and monitoring

Utilize Microsoft Azure for cloud-based machine learning services

Work together with data scientists and business partners to define and document requirements

Evaluate and enhance machine learning models for greater accuracy and efficiency

At least three years of experience in machine learning engineering

Deep knowledge of Apache Spark and Databricks

Direct experience with MLOps tools and workflows

Proficient in Microsoft Azure for cloud machine learning solutions

Advanced programming skills in Python

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

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

Experience with Docker and Kubernetes platforms

Familiarity with LangChain and large language models

Knowledge of natural language processing methods