We are hiring

ML Ops

On-site and remote
We are looking for a talented and highly motivated ML Ops or data engineer for a technical role that includes creating data pipelines and infrastructure for machine learning projects.
Your responsibilities will centre around:
  • Willing to take ownership of machine learning projects that includes state of the art solutions
  • Participating in the research and design of new solutions and complex architectures
  • Being proactive in proposing new tools, solutions and methodologies
  • Working with tools like Kubernetes, Airflow, Pyspark, handling large data volumes in the cloud or edge
  • Over 3 years of relevant professional experience
  • Knowledge of popular machine learning techniques and algorithms and data engineering tools
  • Familiarity with relevant DevOps tools
  • Advanced English
  • Good communication skills, proactive and eager to take on new challenges and learn new things
  • You are a team player and have good interpersonal skills
  • Familiarity with scrum or agile methodologies
  • Required Tools: AWS, Azure or GCP and Kubernetes or Databricks
It’s a plus:
  • Experience with Spark, Hive, Airflow, Kubeflow, Kubernetes or Databricks
Apply here
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