Senior AI/ML Data Engineer — Cloud & Pipelines

Brooksource; St. Louis (MO); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Direct communication with hiring manager

Transparency in the hiring process

Job summary

A leading technology recruitment firm is seeking a Senior Data Engineer to support AI/ML initiatives within a Fortune 50 health insurance organization. This role involves designing and implementing advanced machine learning solutions tailored to pharmacy operations. Candidates should have at least 6 years of AI experience, proficiency in Python and SQL, and familiarity with cloud platforms. The company promotes a transparent hiring process and values equal opportunity for all candidates.

Qualifications

• 6+ years of experience developing AI and machine learning solutions.
• Advanced proficiency in Python and SQL for data science applications.
• Expertise in deep learning architectures and NLP techniques.
• Knowledge of MLOps best practices and CI/CD pipelines.

Responsibilities

• Lead development and training of machine learning models.
• Design and implement robust data pipelines.
• Optimize AI algorithms for performance and scalability.
• Collaborate with cross-functional teams on analytics projects.
• Present findings to stakeholders.

Skills

AI and machine learning solutions

Python

SQL

Machine learning techniques

Deep learning architectures

AI-driven chatbots

Cloud computing platforms

MLOps best practices

Communication of technical insights

Education

Bachelor's degree in Computer Science, Data Science, or related field

Master's degree preferred

Tools

AWS

Databricks

Azure

GCP

Docker

Kubernetes

Apache Spark

PyTorch

Hugging Face

Kafka

Job description

A leading technology recruitment firm is seeking a Senior Data Engineer to support AI/ML initiatives within a Fortune 50 health insurance organization. This role involves designing and implementing advanced machine learning solutions tailored to pharmacy operations. Candidates should have at least 6 years of AI experience, proficiency in Python and SQL, and familiarity with cloud platforms. The company promotes a transparent hiring process and values equal opportunity for all candidates.