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
Requirements:
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
Get in touch with one of our specialists.
Let's discover how can we help you.
Training, developing and delivering machine learning models into production
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