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Experian

Associate Machine Learning Engineer

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Обявата е публикувана в следните категории

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    Tech Stack / Изисквания

    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, provide digital 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 realise their financial goals and help them to 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 experienced people and new advanced technologies to unlock the power of data and improve. 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 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:

    • Oversee and help train a range of Machine Learning models
    • Evaluate the quality of the trained models
    • Productionize newly developed ML models bringing them from an algorithm to a live, cloud-hosted solution
    • Ensure models’ performance is correctly monitored and evaluated addressing any identified issues
    • Ensure training data used meets internal standards and identify mitigation steps should those standards are not met
    • Assist our Data Scientists with testing, coding and UX
    • Document parts of the modelling and testing process
    • Ensure automatic deployment of signed-off models in the production environment is in place
    • Investigate complex production issues, recreating problems and using trace files & error diagnostics. Identify cause and propose solutions

    Qualifications

    What you are expected to bring:

    • 2+ years of working knowledge in Python – preferably both Python’s own syntax but also some of its packages (such as Pandas, Numpy, MatplotLib)
    • Knowledge in container-based deployment technologies (Docker and Kubernetes)
    • Exposure to Linux
    • Knowledge of OOP principles, data structures, algorithms & design patterns
    • Strong verbal and written communication skills (fluency in English)

    Any of the following skills will be considered an advantage:

    • Knowledge and appreciation of agile development methodologies and techniques
    • Experience with Apigee for APIs management
    • Experience with automation packages, such as Luigi and make
    • Knowledge of good software development practices (Test-driven Development, Clean Code, Refactoring, etc.)
    • Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as precision, recall, etc.
    • Basic understanding of Data Science concepts such as overfitting, cross-validation, test-vs-train split, etc.
    • Experience with DB technologies (PostgreSQL, MongoDB, etc.)
    • Experience with CI/CD process development

    Additional Information

    What you will get:

    • Work environment – excellent work conditions with friendly environment, recognized strong 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 & books.

    Experian Careers – Creating a better tomorrow together

    Find out what its like to work for Experian by clicking here