AI Engineer

Fractal Analytics, a company committed to integrating artificial intelligence into decision-making across Fortune 500 environments, seeks an AI Engineer to design, train, and deploy AI models. This onsite role in Texas focuses on building end-to-end AI capabilities, designing robust data pipelines, and weaving AI solutions into established infrastructure using Python, SQL, and a suite of orchestration and storage tools.

Responsibilities

• Develop and deploy AI models with a strong emphasis on Python development.
• Design, implement, and maintain data pipelines for ETL, model scoring, performance monitoring, data offloading, job scheduling, and automation.
• Use 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.
• Leverage workflow orchestration and automation tools such as Airflow, Domino, and Control-M.
• Manage code with version control systems like GitLab or Git and participate in CI/CD activities.
• Work with data storage technologies including Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage and processing.

Technologies

• Python
• SQL
• Airflow
• Domino
• Control-M
• Snowflake
• Cloudera
• Hadoop
• HDFS
• Hive
• GitLab
• Git
• CI/CD
• StorageGrid
• DBT
• Sagemaker
• Snowpark
• APIs
• Talon Batch
• Kafka

Requirements

• Strong Python skills with demonstrable experience in developing and deploying AI models.
• Proficiency in SQL for complex data manipulation, querying, and analysis essential for AI work.
• Experience designing and maintaining robust data pipelines for ETL, model scoring, and monitoring.
• Proficiency with workflow orchestration tools such as Airflow and automation tools like Domino and Control-M.
• Experience with version control and CI/CD using GitLab or Git.
• Knowledge of data storage and processing platforms such as Snowflake, Cloudera, Hadoop, HDFS, and Hive.
• Ability to collaborate with cross-functional teams to integrate AI into existing infrastructure.
• Strong analytical and problem-solving skills in data and AI deployment environments.

Benefits

• Health, dental, vision, life insurance, and disability plans
• 401(k) plan eligible after 30 days of employment
• 11 paid holidays
• 12 weeks of parental leave
• Free time PTO policy

Compensation

Salary is USD 140,000 - 160,000 per year. Compensation decisions reflect factors such as skills, experience, training, certifications, and business needs.