Python AI/ML Engineer- College Recruit

Secunetics, Incover 1 year ago
Reston, Virginia, United States
Hybrid
Full-time
Beginner Level (< 1 year)

Job Description

Position Overview

Secunetics is a leader in IT infrastructure assessment, design, and optimization. We are a focused team working on a diverse set of projects. As a Python AI/ML Data Engineer, you will work on a range of projects involving data to support AI-powered solutions. United States citizens and those authorized to work in the United States are encouraged to apply.

Key Responsibilities

  • Deploy and manage data pipeline orchestration tools such as Dagster
  • Develop ETL/ELT pipelines with data engineering technologies
  • Design and maintain high-performance databases
  • Participate in the development of applications using Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) technologies
  • Develop Python-based data analysis and transformation using libraries such as NumPy and pandas
  • Contribute to the development and consumption of RESTful APIs
  • Develop automated unit tests
  • Apply data security best practices
  • Utilize problem-solving skills to analyze situations and identify potential issues

Required Qualifications

  • Passionate and curious about technology and AI
  • Eager to learn about the full software and data development lifecycle
  • Excited to work within a team environment to learn and grow
  • Possess a keen eye for detail and consistency
  • Demonstrate strong communication skills (listening, verbal, and written)
  • Able to pass a background check for U.S. government security clearance

Preferred Qualifications

  • Prior academic or work experience related to the above topics
  • Exposure to cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)
  • Basic understanding of networking and security concepts
  • Familiarity with containerization (e.g., Docker, Kubernetes)
  • Basic knowledge of web UI/UX design and development with JavaScript
  • Undergraduate or graduate degree in Computer Science or a related field

Required Skills

Data Engineering
RESTful API Development
NumPy
Unit Testing
Machine Learning
Python
Cloud Platforms (GCP, AWS)
ETL/ELT Pipeline Development
Dagster
Web UI/UX Development
Data Security Best Practices
Containerization (Docker, Kubernetes)
Networking Basics
pandas
Artificial Intelligence