MACHINE LEARNING LOVER

Would you like to be a part of Recordly's story? Now is your chance! We’re looking for a Machine Learning Engineer eager to help businesses capitalize on the opportunities data and machine learning offer. Working at Recordly means you get to work with customers that truly want to make data and ML/AI their competitive edge.

“WHO/WHAT IS RECORDLY?” YOU MIGHT ASK

Recordly is an independent company part of the Futurice family that specializes in business data management. Our core business focuses on data management, data architectures, and hands-on data engineering that enable exceptional user experiences, efficiency gains, and new business models. In simple terms, we tech the heck out of data.

Our employee promise (besides offering engaging customer assignments of course) includes the possibility to enjoy the company's success and shape who we are and what we do, together. We believe in being open about how the business is going and how the choices we make affect the bottom line. Take a look at our site to get to know us better.

NOW TO THE ROLE ITSELF

A Machine Learning Engineer at Recordly typically works in tight cooperation with very skilled colleagues and our customers within different assignments. Assignments vary and typically require hands-on work from time to time - meaning you may have to open up AWS/Azure/GCP Console and deploy some machine learning resources or write some MLOps stuff or data pipelines when the Data Engineers are not around.

As we focus on creating actual business value by creating or utilizing for example data and machine learning platforms, we value the following skills:

• Technical skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with data and machine learning technologies such as
  • Fluent with cloud infrastructure, especially the data side of the big three. We don’t expect you to be certified (we can help you with that), but work experience at least within one of the big three is needed.
  • Python - Yeah. This is our main tool in development. Knowledge of other languages is considered an advantage. Of course.
  • MLOps concepts and tool(s) - The most important part of your job is to build the capabilities to enable productive machine learning solutions. We believe that MLOps and other <Dev/Data>Ops methods are an important part of that.
  • Basic knowledge of machine learning models - It’s important to make business value using various machine learning models. To ensure this, a basic understanding of how the models work is sufficient, but even more important is an interest in how the models are operated in a production environment.
  • Understanding and/or experience with Data Lake infrastructure, Data Warehousing, and Data Analytics tools. By this we mean, that you know what other tools (MDM, Data Catalogs, Data Lineage tools etc.) are needed for a good data platform and have some experience with those.
• Ability to understand and translate business requirements into data and machine learning technical requirements. And we truly mean this. We want to be the glue, bridge, sellotape - whatever you want to call it - between the IT and business departments so that they understand each other.
• Finnish and English skills as some of our projects are in Finnish.

WHAT'S IN IT FOR YOU

When you join Recordly, you'll be greeted by our open and exciting culture. On the more tangible side we have you covered with benefits:

• As a Recordly employee, you have the option to buy stocks of the company through the common employee share program
• A yearly bonus based on company performance (equal to all full-time Recordlians)
• Flexible remote working
• Lunch benefit as a part of pimp-your-benefits
• Phone benefit
• Pick the laptop and phone of your choosing
• Health care & services, including dental and mental health
• Childcare services when your child falls ill
• Insurance for travel and free-time
• Recurring training & learning sessions
• Wellness and personal development
• Sports, culture & massage
• Bike benefit

Besides those, we promise you challenging customer assignments. Go check out the amazing work our data architects have done.

INTERESTED TO HEAR MORE?

The recruitment process usually has two to three steps during which we get to know who you are and what motivates you. You will learn more about Recordly and get to meet different people from our company. You'll have the opportunity to present highlights from your career and tell us about your skills, roles, and learnings. We’re committed to creating a good match between you and our organization, and want to spend time to get it right. Sometimes, an assignment might be given to you to complete between interviews.

When we’re done with the face-to-face discussions, we’ll contact the people you have chosen as references.

We hope to hear from you soon!