Cloud ML Engineer: AWS AI & Data Pipelines

AllCloud; United States; Remote; USD 19,000 - 31,000; Full time

Job summary

AllCloud is seeking a savvy Machine Learning/Data Engineer to lead AI/ML projects on AWS, leveraging native services and custom models to deliver predictive insights. The role includes migrating to the cloud, optimizing databases and data flows, and enriching data with AI/ML algorithms.

Close collaboration with architects, PMs and data scientists is required to support multiple teams and products. The ideal candidate enjoys building data systems from the ground up, is self-directed, and is

Qualifications

• 3+ years in a Data Scientist/ML Engineer role.
• Experience with big data tools and cloud migration.
• Strong SQL and NoSQL experience; data pipelines and architectures.

Responsibilities

• Keep data separated and secure to meet compliance requirements.
• Design, build and operate data ingestion, transformation and loading pipelines using SQL and AWS migrations.
• Build and optimize large data lakes that meet business requirements.
• Develop ML models using AWS AI/ML services and notebooks; collaborate with stakeholders.

Skills

Analytical thinking

Data modeling

Problem solving

Education

Bachelor's degree in CS/Math/Info Systems

Tools

Spark

ElasticSearch

Hadoop

Kafka

Kinesis

MySQL

PostgreSQL

DynamoDB

Cassandra

AWS EC2

AWS RDS

AWS EMR

AWS Redshift

Python

Java

Scala

Jupyter Notebooks

Job description

AllCloud is seeking a savvy Machine Learning/Data Engineer to lead AI/ML projects on AWS, leveraging native services and custom models to deliver predictive insights. The role includes migrating to the cloud, optimizing databases and data flows, and enriching data with AI/ML algorithms.

Close collaboration with architects, PMs and data scientists is required to support multiple teams and products. The ideal candidate enjoys building data systems from the ground up, is self-directed, and is