Fractal

AI Engineer

Texas · Full-time

Sponsorship not specified$140k-$160kDetected 12 days ago

PythonGitSQLSnowflakeCI/CDKafkaMachine LearningAirflowdbtData EngineeringAI OrchestrationControlsCollaborationProblem SolvingHadoop

About the role

This role requires a deep understanding of SQL, workflow orchestration tools like Airflow, and data storage technologies such as Snowflake and Hadoop, positioning you at the forefront of AI innovation and application in a dynamic corporate environment.

Develop and deploy AI models leveraging a strong background in Python programming.
Design, implement, and maintain data pipelines for various purposes, including ETL processes, model scoring, model performance monitoring, data offloading, job scheduling, and automation.
Utilize SQL for data manipulation, querying, and analysis to support AI model development and optimization.
Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows.
Manage codebase using version control systems like Gitlab (or Git) and participate in CI/CD pipeline activities.

Proficiency in SQL: Extensive knowledge in SQL for complex data manipulation, querying, and analysis essential for AI model development and optimization.
Workflow Orchestration Tools: Proficiency with tools such as Airflow for workflow scheduling and Domino and Control-M for task automation and management.
Data Storage Technologies: Knowledge of data storage and processing technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive.
Cross-Functional Collaboration: Ability to work effectively with cross-functional teams to integrate AI solutions into existing company infrastructure and workflows.
Ability to work effectively with cross-functional teams to integrate AI solutions into existing company infrastructure and workflows.
All applications must be made through posted job openings

If you possess the required skills and are passionate about AI engineering, we encourage you to apply and join our team of talented professionals driving innovation in AI.

Strong Python background with demonstrable experience in AI and machine learning.
Good knowledge of SQL for data manipulation, querying, and analysis.
Experience with designing and implementing data pipelines for various purposes, including ETL, model scoring, and automation.
Familiarity with Airflow, Domino, Control-M, Snowflake, Gitlab (or Git in general), and CI/CD Pipelines.
Understanding of Cloudera, Hadoop, HDFS, and Hive for big data processing and storage.
Proficiency with tools such as Airflow for workflow scheduling and Domino and Control-M for task automation and management.
Knowledge of data storage and processing technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive.
Data Storage
Good to Have
Experience with StorageGrid, DBT, and Sagemaker is a plus.
Familiarity with Snowpark, APIs, Talon Batch, Kafka, and graph-based models.
A reasonable estimate of the current range is: $140,000-$160,000.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
A reasonable estimate of the current range is: $140,000-$160,000.

You will be eligible for benefits on the first day of employment with the Company.
The Company provides for 11 paid holidays and 12 weeks of Parental Leave.
We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

This listing is sourced directly from Fractal's careers page and normalized into a canonical job model.