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Fractal Analytics

AI Engineer

Fractal Analytics
Texas $140k - $160k/yr Full time Posted 3d ago
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
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Job Description

The AI Engineer position at Fractal Analytics is an onsite role based in Texas, focused on building and deploying AI models with Python, designing and maintaining data pipelines (ETL, scoring, monitoring), and integrating AI solutions with SQL, Airflow, and Snowflake/Hadoop in a corporate environment.

Role Overview

Fractal Analytics applies artificial intelligence to decision making across Fortune 500 companies. As an AI Engineer, you will develop and deploy AI models using Python, design and maintain data pipelines for ETL, model scoring, and performance monitoring, and collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.

Responsibilities

  • Develop and deploy AI models using Python with practical ML experience.
  • Design and maintain data pipelines for ETL, model scoring, monitoring, data offloading, job scheduling, and automation.
  • Apply SQL to manipulate, query, and analyze data to support AI model development and optimization.
  • Collaborate with cross-functional teams to embed AI solutions within existing infrastructure and workflows.
  • Employ workflow orchestration tools such as Airflow, Domino, and Control-M to schedule tasks and automate processes.
  • Manage the codebase with version control systems (GitLab or Git) and contribute to CI/CD activities.
  • Work with data storage technologies including Snowflake, Cloudera, Hadoop, HDFS, and Hive for storage, retrieval, and processing.

Requirements

  • Strong Python skills: Demonstrable experience in developing and deploying AI models using Python.
  • Proficiency in SQL: Extensive SQL knowledge for complex data manipulation, querying, and analysis essential for AI work.
  • Data Pipeline Design and Implementation: Experience building and maintaining robust ETL pipelines, model scoring, monitoring, and data offloading.
  • Workflow Orchestration Tools: Proficiency with Airflow for scheduling and with Domino and Control-M for automation.
  • Version Control and CI/CD: Experience with GitLab or Git, plus understanding of CI/CD pipelines.
  • Data Storage Technologies: Knowledge of Snowflake, Cloudera, Hadoop, HDFS, and Hive.
  • Cross-Functional Collaboration: Ability to partner with diverse teams to integrate AI into existing systems.
  • Problem Solving: Strong analytical and problem-solving abilities in data and AI deployment contexts.

Technologies

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

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

Pay

Salary is USD 140,000 to 160,000 per year. The stated range reflects factors such as skills, experience, and business needs, and is not adjusted for geographic location.

Hiring Related Queries

  • India: [email protected]
  • Outside India: [email protected]
  • All applications must be submitted through posted job openings; resumes sent to this inbox are not processed.
  • If this role is not a fit, you can express interest in future opportunities by selecting Introduce Yourself or creating an account to receive email alerts for new postings matching your interests.

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