Machine Learning Data Engineeronly on W2

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Machine Learning Data Engineeronly on W2

Dallas TX or Boston MA only local

Responsibilities:

Follow the companys software development lifecycle to design code configure test debug and document system and application programs.
Prepare technical design specifications based on functional requirements and analysis documents.
Participate in architecture design and code reviews.
Collaborate with development staff to ensure quality and consistency.
Develop and maintain operational and system-level documentation.
Build and implement a prototype ML model with a quick turnaround.
Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:

Strong command of SQL and experience with relational databases (e.g. PostgreSQL MySQL Oracle Snowflake).
Proficient in Python and/or R for data analysis and model development.
Experience with ML/AI programming and modern machine learning standards.
Hands-on experience with cloud platforms (AWS Azure GCP) and services like Lambda S3 Azure Functions BigQuery.
Familiarity with automation frameworks (e.g. Power Automate Python scripting).
Understanding of data quality management and governance concepts.
Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):

Experience with Informatica IDQ.
Familiarity with Snowflake ML libraries or programming extensions.
Background in designing and implementing scalable API integrations.

Soft Skills:

Highly motivated proactive and collaborative team player.
Able to work independently and meet tight deadlines.
Strong communication and problem-solving skills.

Machine Learning Data Engineeronly on W2 Dallas TX or Boston MA only local Responsibilities: Follow the companys software development lifecycle to design code configure test debug and document system and application programs. Prepare technical design specifications based on functional requirements...