Assistant Machine Learning Engineer at Experian · Sofia

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Job Description

We are a lean team building cloud solutions that users actually get excited about—and we care just as much about how we ship them as what we build: simple, secure, and scalable.

Beyond technical strength, we value engineers who bring ownership and clarity to their daily work. Engineers who plan and are breaking down complexity. Additionally, they communicate progress early, ensuring there are no surprises.

As an Assistant Machine Learning Engineer you will connect the dots between your work and outcomes, explain ideas in a clear and simple way, and learn in an empowered environment.

You will report to Product Manager.

What you'll do:

• Deploy and configure Ascend Sandbox environments using CI/CD, ensuring 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
• Maintain and improve Sandbox platform and services
• Support product development on top of Ascend platforms

Qualifications

What you'll bring:

• Experience with Azure, main cloud services (Azure blob storage, Virtual machines, networking, Active Directory), Databricks, Azure Data Factory
• Experience with CI/CD process development (Jenkins)
• Experience with infrastructure as a code (Terraform)
• Exposure to Linux
• Knowledge of OOP principles, data structures, algorithms and design patterns
• Knowledge and appreciation of Agile development methodologies and techniques
• 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, MatplotLib)
• Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as precision, recall
• Experience with Data Science concepts such as overfitting, cross-validation, test-vs-train split
• Knowledge in managing Databricks or similar platforms, with experience in data management and data processing
• Experience using PySpark, SparkSQL, Delta Lake, DataFrames, jobs, Model tracking, and administration for notebooks and workflow

We will consider any of the following abilities an advantage:

• Experience with containerization of ML models (fastapi)
• Experience with AWS, main cloud services (S3, EC2, Lambda functions, networking) + EKS, Sagemaker, managed elastic search and kafka services
• Experience with Apigee for APIs management
• Experience with SSO integrations (Okta)

Additional Information

You will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

This is a hybrid remote/in-office role.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

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