Machine Learning Engineer
Core
Design, build, and operate AI/ML infrastructure and predictive models on AWS to deliver insights and optimize customer data flows.
Role type
Machine Learning/Data Engineer
Builds
Data lakes, ETL pipelines, and ML models on AWS
Domain
Cloud infrastructure and AI/ML
Deliverable
production ML models
Required skills
Python, SQL, AWS services (EC2, RDS, EMR, Redshift), Spark, Kafka, Kinesis, Deep Learning, Neural Networks, NoSQL databases
Preferred skills
AWS Machine Learning Specialty, AWS Solutions Architect - Associate
Technologies
AWS, Spark, ElasticSearch, Hadoop, Kafka, Kinesis, MySQL, Postgres, DynamoDB, Cassandra, Jupyter Notebooks
Responsibilities
Design and operate infrastructure for data extraction, transformation, and loading; optimize RDBMS engines in the cloud; design and operate large data lakes; ingest and process diverse data types from near real-time events to unstructured data; build and deploy ML models using Jupyter Notebooks; leverage AWS AI/ML pre-built solutions.
Seniority
Mid-level (3+ years experience)
