Senior AI Data Engineer Full-time

Overview

The Emmes Company, LLC (“Emmes”) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. We believe in the power of truth, so much so that we named our company Emmes, which means truth. Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass.

Our “Character Achieves Results” culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity. We are a trusted partner to clients who share our passion for improving public health in a world of ever-changing scientific research.

If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee – from entry level through top executive – to contribute to our clients’ success by sharing ideas openly and honestly.

Primary Purpose

Building and maintaining our data infrastructure on the AWS cloud platform, with a specific focus on supporting AI model training, development, and deployment. This includes designing, developing, and implementing data pipelines, ensuring the secure and efficient flow of data for our AI models.

Responsibilities

• Data for AI:
  • Design and implement data pipelines specifically tailored for AI training and model development.
  • Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access.
  • Implement data pre-processing and feature engineering techniques for optimal model performance.
• AWS expertise:
  • Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis.
  • Build and maintain data lakes and warehouses optimized for AI workloads.
  • Implement automated data transformations,cleansing, and validation processes to ensure data quality.
• Coding proficiency:
  • Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, PyTorch).
• Automation and monitoring:
  • Automate data pipelines using CI/CD tools and related techniques.
  • Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues.

Qualifications

• 3 to 8 years of experience as a Data Engineer or similar role,with a demonstrated experience in supporting data pipelines for AI applications and their data requirements.
• Proven experience with AWS services,including S3, Redshift, Glue, Lambda, and Kinesis.
• Strong experience with Python and SQL.
• Strong understanding of AI libraries and frameworks.
• Experience with data warehousing and data modeling concepts.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a collaborative team.
• Strong communication and collaboration skills.

CONNECT WITH US!

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