What are the responsibilities and job description for the Machine Learning (ML) Engineer position at Rose International?
Date Posted: 05/20/2026
Hiring Organization: Rose International
Position Number: 501476
Industry: Software
Job Title: Machine Learning (ML) Engineer
Job Location: Plano, TX, USA, 75075
Work Model: Onsite
Shift: Standard business hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 3
Min Hourly Rate($): 40.00
Max Hourly Rate($): 42.00
Must Have Skills/Attributes: NoSQL, PostgreSQL, Python, SQL
Experience Desired: Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, (5 yrs); Advanced No-SQL and SQL and data modeling for slowly changing dimensions (5 yrs); Experience building production-grade data pipelines, (5 yrs); Solid Python skills with APIs development and familiarity with ML workflows. (5 yrs); Delta Lake, MLflow, and workflow orchestration experience. (5 yrs); Familiarity with ELK (Elastic Kibana) (1 yrs)
Preferred Education: Bachelor’s Degree
**C2C is not available**
Job Description
***Only qualified Machine Learning Engineer candidates located near Plano, TX to be considered due to the position requiring an onsite presence. ***
Required Skills, Experience, & Abilities
This role is ML Engineering with hands-on Data Engineering skills. Data Engineer with Data Ingestion experience with SparkSQL will NOT be shortlisted in this role. Candidate work will start after data Ingestion.
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 501476
Industry: Software
Job Title: Machine Learning (ML) Engineer
Job Location: Plano, TX, USA, 75075
Work Model: Onsite
Shift: Standard business hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 3
Min Hourly Rate($): 40.00
Max Hourly Rate($): 42.00
Must Have Skills/Attributes: NoSQL, PostgreSQL, Python, SQL
Experience Desired: Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, (5 yrs); Advanced No-SQL and SQL and data modeling for slowly changing dimensions (5 yrs); Experience building production-grade data pipelines, (5 yrs); Solid Python skills with APIs development and familiarity with ML workflows. (5 yrs); Delta Lake, MLflow, and workflow orchestration experience. (5 yrs); Familiarity with ELK (Elastic Kibana) (1 yrs)
Preferred Education: Bachelor’s Degree
**C2C is not available**
Job Description
***Only qualified Machine Learning Engineer candidates located near Plano, TX to be considered due to the position requiring an onsite presence. ***
Required Skills, Experience, & Abilities
- Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.
- Advanced No-SQL and SQL and data modeling for slowly changing dimensions / temporal mappings.
- Experience building production-grade data pipelines,
- Solid Python skills with APIs development and familiarity with ML workflows.
- Delta Lake, MLflow, and workflow orchestration experience.
- Migrations involving identifier remapping or historical backfills.
- Familiarity with ELK (Elastic Kibana)
- GenAI experience will be a big plus
This role is ML Engineering with hands-on Data Engineering skills. Data Engineer with Data Ingestion experience with SparkSQL will NOT be shortlisted in this role. Candidate work will start after data Ingestion.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).