ML Ops Engineer- София

Описание

We are the leading global information services company, providing data and analytical tools to our clients around the world. We help businesses to manage credit risk, prevent fraud, target marketing offers and automate decision making. We also help people to check their credit report and credit score and protect against identity theft.

We employ approximately 17,000 people in 44 countries and our corporate headquarters are in Dublin, Ireland, with operational headquarters in Nottingham, UK; California, US; and São Paulo, Brazil.

Experian is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

We are committed to building an inclusive culture and creating an environment where people can balance successful careers with their commitments and interests outside of work. Our flexible working practices support our belief that this balance brings long-lasting benefits for our business as well as our people. Some roles lend themselves to flexible options more than others, and if this is important to you, we are open to discussing agile working opportunities during the hiring process.

Position Title: ML Ops Engineer

We're currently looking for a ML Ops Engineer to join the R&D Team, part of our Analytics Center of Expertise. The team is focused on rolling out Trusso, our cutting-edge ML based transaction categorization engine across the world. If working on a truly global product that is likely to also impact you directly is something you have always wanted to do drop us your CV and let us do the rest.

Responsibilities:
Oversee and facilitate the training of a range of Machine Learning models
Evaluate the quality of the trained models, using existing and also new measures which the ML Ops Engineer will create
Automate repetitive tasks and processes pushing leaving time for the truly challenging tasks and activities
Report on the current and historical state of our models’ performance, along with issues and progress
Perform Quality Assurance on the training data produced by our models, and provide feedback to the teams producing our training data, given your QA findings
Assist our Data Scientists with testing, coding and UX
Document parts of the modelling and testing process
Deploy signed-off models in the production environment
Investigate complex production issues, recreating problems and utilizing trace files & error diagnostics. Identify root cause and propose solutions

Requirements:
BSc level degree at a numerical discipline, such as Computer Science, Maths, Statistics, Physics or related discipline
Working knowledge of Python – preferably both Python’s own syntax but also some of its main analytical packages (such as Pandas, Numpy, MatplotLib)
Flexible and adaptable to learn and understand new technologies
Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
A keen eye for detail, good at spotting problems and quickly proposing solutions
Strong verbal and written communication skills (fluency in English)
Exposure to Linux
Good knowledge of OOP principles, data structures, algorithms & design patterns
Knowledge in container-based deployment technologies (Docker and Kubernetes)

Any of the following abilities and 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

In order to stay safe and be responsible, we introduce a remote hiring process with online interviews for all candidates.

The health and wellbeing of our people is a top priority.

That’s why if you join us we will provide you with the benefits which fit your needs through all the stages of your life.

Изисквания към кандидата

Езикови познания:
Английски език

Трудов опит:
С професионален опит от 1 - 3г.

Образование:

Ние предлагаме

Вид заетост:

Срок на заетост:

Договор:

Ниво в йерархията:
Експертен персонал без ръководни функции

Категория:

ИТ и Компютърни специалисти

Държава:

България

Населено място:

Гр. София

Адрес:

Цариградско шосе 115 Г, бл. Сграда Мегапарк, ет. 10, София 1784

Дата:

15.04.2021

Организация:

ЕКСПИРИЪН БЪЛГАРИЯ ЕАД
Фирма/Организация - Директно търсеща служители

Детайли за организацията:

Повече информация за ЕКСПИРИЪН БЪЛГАРИЯ ЕАД може да получите ТУК