Software Engineer

Overview

On Site
USD 69.00 - 74.00 per hour
Full Time

Skills

FOCUS
Collaboration
Mentorship
Regulatory Compliance
Generative Artificial Intelligence (AI)
Vector Databases
Artificial Intelligence
Machine Learning (ML)
TensorFlow
Keras
Natural Language Processing
NLTK
Machine Learning Operations (ML Ops)
Amazon SageMaker
Lifecycle Management
Big Data
Apache Spark
Apache Kafka
Apache Hadoop
Data Science
Pandas
scikit-learn
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Programming Languages
Scala
R
Shell Scripting
MongoDB
ATLAS
Apache HBase
Apache Cassandra
Redis
PostgreSQL
MySQL
DevOps
Docker
Kubernetes
Ansible
Terraform
Git
Linux
Performance Tuning
Python
Java
Microsoft
Dynamics
Software Engineering
Military
Privacy
Marketing

Job Details

Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Job Title: Software Engineer - AI/ML (Contingent Assignment)
Location: Charlotte, NC
Employment Type: Contract / Contingent Resource
About the Role

We are seeking a highly skilled Software Engineer to support complex, large-scale software engineering initiatives with a focus on AI/ML and distributed systems. In this role, you will consult on strategic projects, analyze multifaceted engineering challenges, and collaborate with cross-functional teams to deliver innovative solutions.
Key Responsibilities
  • Lead and consult on high-impact software engineering initiatives involving Generative AI, ML, and distributed systems.
  • Analyze and resolve complex technical challenges, considering multiple variables including novel or unprecedented factors.
  • Design, develop, test, and deploy scalable machine learning models and AI solutions.
  • Collaborate with client stakeholders to align technical solutions with business goals.
  • Mentor and guide engineering teams to drive high-quality outcomes.
  • Ensure compliance with organizational policies, procedures, and regulatory requirements.
Technical Expertise
  • Generative AI: LLMs, vector databases, embedding models, vector search, Retrieval-Augmented Generation (RAG)
  • Machine Learning & AI: Scikit-learn, Spark ML, TensorFlow, Keras, NLP (spaCy, NLTK)
  • MLOps: AWS SageMaker, model lifecycle management, Ray
  • Big Data & Distributed Systems: Apache Spark, Kafka, Hadoop, HBase, Cassandra
  • Data Science: Python (Pandas, Scikit-learn, etc.)
  • Cloud Platforms: AWS, Google Cloud Platform (Google Cloud Platform), Microsoft Azure
  • Programming Languages: Python, Java, Scala, R, Shell scripting
  • Datastores: MongoDB Atlas, Milvus, HBase, Cassandra, Redis, PostgreSQL, MySQL
  • DevOps & Tooling: Docker, Kubernetes, Ansible, Terraform, Git, Linux
  • Performance Optimization: Monitoring and tuning of Python/Java applications and distributed systems
  • Microsoft Ecosystem: Copilot Studio, Power Platform, Dynamics 365
Minimum Qualifications
  • 5+ years of experience in Software Engineering or equivalent through a combination of work, consulting, education, or military service.

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Contact:

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