Machine Learning Engineer_AI & ML Team

What You Need To Succeed

• 2 to 4 years of proven experience as a Machine Learning Engineer in a professional setting.
• Proficiency in any programming language (Python preferable).
• Prior experience in building and deploying Machine learning systems.
• Experience with containerization: Docker & Kubernetes.
• Experience with AWS cloud services like EKS, ECS, EMR, Lambda, and others.
• Fluency with workflow management tools like Airflow or dbt.
• Familiarity with distributed batch compute technologies such as Spark.
• Experience with modern data warehouses like Snowflake or BigQuery.
• Knowledge of MLFlow, Feast, and Terraform is a plus.