Company Description

Ready to make a difference? Experian has evolved into a global tech company and in one of the first places in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish – and we're not done.

Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and progress so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian

Job Description

We are looking for an Associate Machine Learning Engineer, who will report to the Machine Learning Engineer Manager, be part of our Product Development Analytics Team and work for Experian Trusso product.

What you'll do:

• Help develop microservices.
• Deploy microservices to pre-prod and production environments.
• Help design cloud-based machine learning inference solution.
• Productionize newly developed ML models bringing them from an algorithm to a live, cloud-hosted solution.
• Automate deployments following the CI/CD best practices.
• Ensure all product components are monitored and in a good health.
• Be agile, support your team, write clean code, practice TDD, and quickly deliver valuе to the client;
• Exposure to new technologies (be it programming languages or DevOps tools).

Qualifications

What you are expected to bring:

• 2+ years experience in Python programming language.
• Contribute to the teams ideas
• Encourage open sharing of ideas and insights.
• Experienced in at least one object-oriented programming language
• Knowledge in container-based deployment technologies (Docker and Kubernetes).
• Good grasp of OOP principles, data structures, algorithms and design patterns.
• Exposure to Linux.
• Fluency in English

Any of the following skills will be considered an advantage:

• 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.
• Experience with DB technologies (PostgreSQL, MongoDB).
• Experience with CI/CD process development.
• Experience with front-end technologies.

Additional Information

What you will get:

• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
• Opportunity for flexible working hours and home office.
• Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. 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.

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