Senior AI Engineer - Data Pipelines & ML Deployment

Fractal Analytics Inc.; Town of Texas, Northern (WI, KY); Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

11 paid holidays

Parental leave

PTO

Job summary

Fractal Analytics Inc. is seeking an AI Engineer to develop and deploy AI models using Python, and to design robust data pipelines for ETL, model scoring, and monitoring.

You will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows, utilizing Airflow, Domino, and CI/CD practices. The role requires strong Python and SQL skills, familiarity with Snowflake and Hadoop ecosystems, and the ability to operate in a dynamic enterprise environment.

Qualifications

• Strong Python skills with demonstrated AI/ML model development.
• Extensive SQL for data manipulation, querying, and analysis.

Responsibilities

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

Skills

Python

SQL

Data pipelines

Airflow

Domino

Control-M

GitLab/Git

Snowflake

Hadoop

Hive

Cloudera

CI/CD

AI/ML

Tools

Airflow

Domino

Control-M

Snowflake

GitLab

Git

Hadoop

Cloudera

HDFS

Hive

Job description

Fractal Analytics Inc. is seeking an AI Engineer to develop and deploy AI models using Python, and to design robust data pipelines for ETL, model scoring, and monitoring.

You will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows, utilizing Airflow, Domino, and CI/CD practices. The role requires strong Python and SQL skills, familiarity with Snowflake and Hadoop ecosystems, and the ability to operate in a dynamic enterprise environment.