Fractal Labs

2 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Develop and deploy AI models using Python to support decision-making across enterprise customers. Design and maintain data pipelines for ETL, model scoring, and performance monitoring, leveraging SQL for analysis and optimization. Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows, while using orchestration and CI/CD practices and working with data platforms such as Snowflake and Hadoop for storage and processing.

Location: Texas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop and deploy AI models leveraging Python.
•Design, implement, and maintain data pipelines for ETL, model scoring, performance monitoring, 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.
•Use workflow orchestration tools and maintain codebase with version control and CI/CD pipelines.

Pay and Benefits

Salary: USD 140,000 - 160,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid LeavePaid HolidaysParental Leave

Key Requirements

•Develop and deploy AI models using Python with demonstrable AI/ML experience.
•Proficiency in SQL for complex data manipulation, querying, and analysis supporting AI model development and optimization.
•Experience designing and maintaining data pipelines for ETL, model scoring, performance monitoring, and automation.
•Proficiency with workflow orchestration and scheduling tools such as Airflow, Domino, and Control-M.
•Experience with version control (GitLab or Git) and CI/CD pipeline activities.

Skills:Cross-functional collaborationProblem-solvingAnalytical thinking

Tech Stack:PythonSQLETLAirflowDominoControl-MSnowflakeHadoopClouderaHDFSHiveGitLabGitCI/CDKafkaStorageGridDBTSageMakerSnowparkAPIs

Company Brief

Fractal Labs

Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn

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Fractal Labs

2 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Texas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop and deploy AI models leveraging Python.
•Design, implement, and maintain data pipelines for ETL, model scoring, performance monitoring, 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.
•Use workflow orchestration tools and maintain codebase with version control and CI/CD pipelines.

Pay and Benefits

Salary: USD 140,000 - 160,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid LeavePaid HolidaysParental Leave

Key Requirements

•Develop and deploy AI models using Python with demonstrable AI/ML experience.
•Proficiency in SQL for complex data manipulation, querying, and analysis supporting AI model development and optimization.
•Experience designing and maintaining data pipelines for ETL, model scoring, performance monitoring, and automation.
•Proficiency with workflow orchestration and scheduling tools such as Airflow, Domino, and Control-M.
•Experience with version control (GitLab or Git) and CI/CD pipeline activities.

Skills:Cross-functional collaborationProblem-solvingAnalytical thinking

Tech Stack:PythonSQLETLAirflowDominoControl-MSnowflakeHadoopClouderaHDFSHiveGitLabGitCI/CDKafkaStorageGridDBTSageMakerSnowparkAPIs

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn