We are looking for a Machine Learning Engineer! As a Machine Learning Engineer, you will work together with our Data Engineers and Data Scientists to help our customers. Your role will be a combination of building good data flow between different systems and implementing machine learning solutions and pipelines utilizing cloud-basedor open source machine learning stack. You will become an expert in deploying machine learning solutions and in all that follows: we call this machine learning operations or in other words MLOps.

You already have some of the following and are eager to learn the rest:

• At least one year experience working as a developer or data engineer or data scientist
• Knowledge of data science and machine learning concepts
• Knowledge of Cloud-based (Amazon, Google Cloud) ML stacks
• Python and knowledge of Python Machine learning libraries example: Scikit-learn, Keras, Tensorflow,  PyTorch, Pandas
• Experience with databases, SQL and ETL
• Coding skills, including Docker and Git
• Experience in Deployment and Operations

We offer you the chance to work with best colleagues (also known as Siilis) and with the best clients and projects. You will never be bored, as we strongly believe in continuous improvement, which means you will always be able to deepen your expertise with us. Being a Siili also means that you get to work with different teams, yet be the master of your own work – we trust you. We will help you to develop your competence together with our data science experts.

Our Data people tackle diverse problems in their day-to-day work and work in sectors like Media, Gaming, Retail, Healthcare, Energy, Manufacturing, e-business, Insurance and Banking. They can expect to come across the following in their day-to-day work: predictive modeling, natural language processing, computer vision, recommender engines, conversion optimization, customer segmentation, personalization, reinforcement learning, deep learning, bots and time-series analysis.Interested?

If you want to know more about this role or Siili, we are happy to help. Just contact Anni from our Talent team (anni.hakkinen@siili.com)