AI/ML GCP Engineer

Startekk Inc; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

StarTekk Inc. is seeking a data/ML engineer to build and deploy machine learning solutions on Google Cloud that support healthcare operations, including claims, member engagement and care analytics.

You will develop and train ML models on Vertex AI and BigQuery ML, create data and model pipelines, monitor performance, and collaborate with data and product teams to productionize AI use cases while ensuring HIPAA compliance.

Qualifications

• Must have experience with AI/ML, GCP, and Python.
• Healthcare domain knowledge and HIPAA awareness preferred.
• Experience building data pipelines and testing.

Responsibilities

• Develop, train and deploy ML models on GCP (Vertex AI, BigQuery ML).
• Build data and model pipelines; monitor model performance.
• Collaborate with data and product teams to productionize AI use cases.

Skills

AI/ML

GCP

Python

Tools

Vertex AI

BigQuery ML

Job description

• StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives.

Job Description

Summary: Build and deploy machine learning solutions on Google Cloud that support healthcare operations such as claims, member engagement and care analytics.

• Develop, train and deploy ML models on GCP (Vertex AI, BigQuery ML)
• Build data and model pipelines; monitor model performance
• Work with data and product teams to productionize AI use cases

Must have: AI/ML, GCP, Python.

Qualifications

AI/ML, GCP, Python.

Additional Information

• Understanding of healthcare applications and business processes.
• Knowledge of HIPAA compliance requirements.
• Experience handling Protected Health Information (PHI) securely.
• Healthcare or other regulated industry experience is preferred.
• Candidates should have relevant hands-on experience in Salesforce (SFDC) automation testing.
• Experience with functional, regression, and integration testing is preferred.
• Strong communication and collaboration skills are expected.