Senior AI/ML Data Engineer – Remote

Quantum Technologies LLC; Plano (TX); Remote; USD 88,000 - 125,000; Full time

Job summary

Quantum Technologies. LLC in Plano, TX (Remote) seeks a Data Engineer for a 24-month assignment.

The role requires strong expertise in AI/ML engineering with TensorFlow, PyTorch, or Scikit-learn, plus proficiency in Python, Java, or Scala, and extensive data modeling, ETL, and warehousing experience. The candidate should have hands-on experience with Hadoop, Spark, or Kafka, solid SQL skills (PostgreSQL/MySQL), NoSQL (MongoDB/Cassandra), and familiarity with cloud platforms (AWS/Azure/Google

Qualifications

• Strong expertise in AI/ML Engineering with TensorFlow, PyTorch, or Scikit-learn.
• Proficient in Python, Java, or Scala.
• Extensive experience with data modeling, ETL, and data warehousing.
• Hands-on with Hadoop, Spark, or Kafka.
• Strong SQL skills; experience with PostgreSQL, MySQL.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

Responsibilities

• Develop AI/ML solutions across data platforms.
• Build data pipelines and warehousing solutions.
• Work with Hadoop, Spark, and Kafka.
• Manage SQL and NoSQL databases.
• Leverage cloud data services.
• Collaborate with teams in an Agile environment.

Skills

AI/ML Engineering

Python

Java

Scala

Data Modeling

ETL

Data Warehousing

Big Data

SQL

PostgreSQL

MySQL

MongoDB

Cassandra

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Hadoop

Spark

Kafka

Docker

Kubernetes

AWS

Azure

Google Cloud

Tableau

Power BI

Looker

Job description

Quantum Technologies. LLC in Plano, TX (Remote) seeks a Data Engineer for a 24-month assignment.

The role requires strong expertise in AI/ML engineering with TensorFlow, PyTorch, or Scikit-learn, plus proficiency in Python, Java, or Scala, and extensive data modeling, ETL, and warehousing experience. The candidate should have hands-on experience with Hadoop, Spark, or Kafka, solid SQL skills (PostgreSQL/MySQL), NoSQL (MongoDB/Cassandra), and familiarity with cloud platforms (AWS/Azure/Google