AI Engineer: Build Data Pipelines & ML for Enterprise

Fractal; Texas; On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability plan

401(k) after 30 days

11 paid holidays

Parental leave (12 weeks)

Paid time off

Job summary

Fractal is seeking an AI Engineer in Texas to develop and deploy AI models, build robust data pipelines for ETL, scoring, and monitoring, and collaborate across teams to ensure AI solutions are integrated into existing infrastructure. Proficiency in Python and SQL is essential, with hands-on experience in Airflow and modern data storage technologies.

The role emphasizes data-driven decision making, scalability, and seamless deployment within a Fortune-500–level environment.

Qualifications

• Strong Python experience in AI model development.
• Expert knowledge of SQL and data manipulation.
• Experience designing and maintaining data pipelines (ETL, scoring, monitoring).
• Proficiency with workflow orchestration tools such as Airflow; experience with Domino and Control-M is a plus.
• Familiarity with Snowflake, Hadoop, HDFS, and Hive for data storage/processing.
• Version control with GitLab or Git; understanding CI/CD pipelines.
• Ability to work cross-functionally and solve complex data/AI deployment challenges.

Responsibilities

• Develop and deploy AI models using Python.
• Design, implement, and maintain data pipelines for ETL, model scoring, monitoring.
• Utilize SQL for data manipulation to support AI development.
• Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.
• Familiarize with Airflow, Domino, and Control-M for orchestration and automation.
• Manage code with GitLab/Git and contribute to CI/CD processes.
• Work with Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage and processing.

Skills

Python

SQL

Data pipelines

Tools

Airflow

Domino

Control-M

Snowflake

GitLab

Git

CI/CD

Hadoop

HDFS

Hive

Job description

Fractal is seeking an AI Engineer in Texas to develop and deploy AI models, build robust data pipelines for ETL, scoring, and monitoring, and collaborate across teams to ensure AI solutions are integrated into existing infrastructure. Proficiency in Python and SQL is essential, with hands-on experience in Airflow and modern data storage technologies.

The role emphasizes data-driven decision making, scalability, and seamless deployment within a Fortune-500–level environment.