AI Engineer
Python
Apache Airflow
Artificial Intelligence
Automation
Big Data
Bigdata
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Domino
ETL
Hadoop
Hive
Integration
Machine Learning Engineer
Snowflake
SQL
Job Description
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.
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