Machine Learning Engineer

End client company is looking for a Machine Learning Engineer


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.


Minimum of a Master degree in Computer Science, Mathematics, Statistics, Physics or comparable studies
Expert knowledge in cloud engineering, preferably in AWS
Advanced knowledge of data & machine learning pipelines and infrastructure, front-end applications and respective overarching software design patterns
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


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

If you are interested in this offer, click on "apply now" to send an updated copy of your CV, or call us now.
If this offer does not suit your profile but you are looking for a new job, please contact us and we will discuss it. We guarantee confidentiality. []

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Tipo de trabajo
Tecnología e Internet
According your experience

Hablar con un consultor

Hablar con Maria Bert, la persona que lleva esta posición, en la oficina de Barcelona
Hays Barcelona, Calle Valencia 307 - 313

Teléfono: +34 670 321 933