Assistant Machine Learning Engineer (Azure)

TL;DR

Assistant Machine Learning Engineer (Azure/Databricks): Deploying and configuring cloud solutions and data pipelines for the Ascend Sandbox platform with an accent on CI/CD, infrastructure as code, and scalable platform setup. Focus on integrating ML services across new markets and optimizing data processing using PySpark and SparkSQL.

Location: Hybrid in Sofia, Bulgaria

Company

Global data and technology company specializing in analytics and software to redefine lending practices and prevent fraud across financial services, healthcare, and automotive markets.

What you will do

• Deploy and configure Ascend Sandbox environments using CI/CD to ensure repeatable, scalable, and reliable platform setup.
• Design, build, and maintain data pipelines to support product and analytics use cases on Ascend Sandbox.
• Contribute to end-to-end platform and services design, integration, and rollout across new markets.
• Support and maintain Sandbox platform and services while driving continuous improvement.
• Collaborate on product development integrated with Ascend platforms.

Requirements

• 3+ years of working knowledge in Python, including analytical packages such as Pandas, Numpy, and MatplotLib.
• Experience with Azure cloud services (blob storage, Virtual machines, networking, Active Directory), Databricks, and Azure Data Factory.
• Experience with CI/CD process development using Jenkins and Infrastructure as Code via Terraform.
• Proficiency in PySpark, SparkSQL, Delta Lake, and data management/processing within Databricks.
• Basic knowledge of statistics and ML model evaluation measures such as precision and recall.
• Fundamental understanding of Data Science concepts including overfitting, cross-validation, and train-test splits.

Nice to have

• Experience with containerization of ML models using FastAPI.
• Experience with AWS services (S3, EC2, Lambda, EKS, Sagemaker, managed ElasticSearch, and Kafka).
• Knowledge of Apigee for API management.
• Experience with SSO integrations, specifically Okta.

Culture & Benefits

• Comprehensive personal development with career pathways and unlimited access to online training and educational materials.
• Social benefit package including life and health insurance, food vouchers, monthly flex allowance, and internet coverage.
• Work-life balance with 25 days of paid vacation, a birthday day off, and extra days for social responsibility events.
• Flexible working hours and home office options.
• Friendly environment with a strong team spirit and corporate discounts.