AI Analytic Software Engineer-Senior

NetSage Corporation
Jessup, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jessup, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Data Stores
Elasticsearch
Python
Object-Oriented Software Development
Scrum
Jupyter Notebook
Cloud Platform System
React
Gitlab
GIT
PySpark
Kubernetes
Information Technology
HuggingFace
Atlassian Tools
Software Version Control
Docker

Requirements

We are seeking a Senior Artificial Intelligence (AI) Analytic Engineer to lead the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. In this role, you will integrate advanced AI capabilities through application programming interfaces (APIs) such as OpenAI and AWS Bedrock. You will also build intuitive Front End experiences using technologies like AWS Amplify and React. The ideal candidate for this position will have deep experience implementing analytic governance and AI governance frameworks, and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy. Please consider applying if you meet the following qualifications., * TS/SCI with polygraph security clearance.

  • A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and eight (8) years or relevant experience is required. A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable.
  • Strong proficiency with object-oriented languages like Python and Java.
  • Demonstrable expertise with analytic development environments and cloud-native platforms.
  • Strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
  • Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo, or similar tools.
  • Experience with the following tech stack:
  • PySpark
  • Jupyter Notebooks
  • Kubernetes
  • Docker
  • ElasticSearch
  • Query Time Analytics
  • Customer tools and data repositories

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