Machine Learning Engineer

hace 1 semana


Barcelona, España Hays A tiempo completo

YOU WILL

Work globally, cross domain & cross technologies to support fast, small scale analytical prototypes as well as driving the scaling and industrialization of respective products
Conceptualise, develop and deploy analytical solutions and products in on-premise and cloud environments (end-to-end)
Translate non-technical and specific machine learning requirements into design specifications & reference architectures around data pipelines, CI/CD pipelines and hosting infrastructure
Consult in analytical use cases in terms of software engineering related considerations to enable a smooth scale-up phase of prototypes into production
Draft and implement operations & lifecycle management concepts for running & decommissioning analytical products and the underlying infrastructure
Collaborate with product line leads and data scientists to manage the entire lifecycle of analytical product.

MAJOR TASKS AND RESPONSIBILITIES

Minimum of a Master degree in Computer Science, Mathematics, Statistics, Physics or comparable studies
Expert knowledge in cloud engineering, preferably in AWS
Advanced competencies around DevOps principles and tool stack (e.g. CI / CD, Docker, Kubernetes, Infrastructure as Code, event driven architecture, ELK Stack)
Advanced knowledge in terms of relational (SQL-type) databases and data warehouses
Experience with NoSQL databases (e.g. MongoDB) or big data infrastructure (Hadoop, spark) beneficial
Good knowledge in the following fields: Data Science, Statistics, Machine & Deep Learning and Visualization
Strong programming skills in Python, R, JavaScript or comparable
Strong conceptual, quantitative and problem solving skills
Focus competencies: Cultivates Innovation, Collaborates, Manages Complexity
Ability to work successfully with people from a variety of different cultures and backgrounds
Fluent in English, both written and spoken

IN EXCHANGE WE WILL OFFER YOU

A flexible hybrid work model (Home Office) including the option to work anywhere within the EU and 2 weeks/year outside the EU.
Career development with wide access to professional development tools & trainings.
Competitive salary, bonus & top performers awards on recognition in case of exceeding contribution
Meals Subsidy in Office.
2 additional annual leave days after 3 years in the company.
Life & Accident Insurance.
100% salary coverage in the event of medical leave.
In-house medical service open 5 days a week for 8 hours.
24-hour psychological, medical, and social care for employees and family.
Annual medical check-up.
Subsidised sports groups, physiotherapy service, online gym.
At office: fitness room, parcel lockers, laundry/drycleaner service, bicycle parking



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