MLOps Engineer

Helsinki, Uusimaa, Finland

IPRally Technologies Oy

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We are looking for a senior-level software engineer to help to support our machine learning projects.

IPRally helps patent professionals around the world work more efficiently. Our patent search engine is easy to use and provides highly accurate results thanks to its unique graph approach and deep learning technology. Our search strategy employs a divide and conquer approach, first parsing 100M patent documents into individual knowledge graphs and then training machine learning models to understand this enhanced dataset. While this simplifies the problem, it also adds complexity to our data infrastructure and model dependencies.

As an MLOps Engineer, you will be part of a small, self-organizing team with a focus on improving the quality and speed of our ML experiments. You will have the opportunity to define and implement best practices for MLOps and work with cutting-edge tools and technologies.

In addition to the opportunity to work with a talented and ambitious team, you will also have the chance to learn and grow through challenging projects and the rapid growth of our company. We offer a competitive salary and benefits package.

Requirements

  • Strong programming skills and experience in Python
  • Experience using deep learning frameworks such as PyTorch in a production environment
  • Familiarity with MLOps tools such as Kubeflow, Vertex AI, or Weights & Biases
  • Experience with data flow tools such as Airflow or Dagster for managing machine learning pipelines
  • Knowledge of database systems, particularly PostgreSQL
  • Experience with cloud computing platforms and infrastructure, such as AWS, Azure, or GCP
  • Excellent communication skills and the ability to work effectively in a team environment

While we are looking for someone with experience in all of the above areas, we understand that not everyone will have experience in every area. If you believe you have the skills and experience to succeed in this role, even if you don't meet every criterion listed above, we encourage you to apply.

Benefits

  • Competitive financial package
  • Great benefits, for example dental care package
  • Above average holidays
Job stats:  14  1  0

Tags: Airflow AWS Azure Dagster Deep Learning GCP Kubeflow Machine Learning ML models MLOps Pipelines PostgreSQL Python PyTorch Weights & Biases

Perks/benefits: Career development Competitive pay

Region: Europe
Country: Finland

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