Hiring Now: AI/ML Developer | Long Term | Atlanta, GA (Local Preferred)

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Agile
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Caffe
Communication
DevOps
Generative Artificial Intelligence (AI)
High Availability
Keras
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft
Microsoft Cognitive Toolkit
Natural Language Processing
Presentations
Programming Languages
Prompt Engineering
Python
R
Scala
Software Engineering
TensorFlow
Test-driven Development
Thought Leadership
Training
scikit-learn

Job Details

10+ years of work experience in Software Engineering

7+ years of work/educational experience in Artificial Intelligence/Machine Learning

Experience with Agile Software Development Lifecycles and DevOps/DevSecOps

Development experience on AWS, AWS Sagemaker required

Proficiency with one or more programming languages: Python, R, Scala, Spark

Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition

Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit-learn, Keras, Caffe, Gluon, Torch

Familiarity with GenAI technology stack, including prompt engineering, guardrails for GenAI applications, and LLM fine-tuning

Hands-on experience with VectorDBs and other infrastructure to support Generative AI pipelines and production applications

Experience training and maintaining large language models (LLMs)

Experience with production-grade development, integration, and support

Strong communication and presentation skills for technical and business audiences

Responsibilities:

Grow the use of AI within customer and employee-facing experiences

Partner with business and technology teams to identify and drive AI opportunities

Provide technical thought-leadership and direction for AI solutions across diverse environments

Collaborate with Architecture, Foundations, and Security teams to design scalable and secure AI solutions

Define, design, and capture data required for measurement of AI solutions

Communicate effectively, share ideas, and foster collaboration

Deliver with quality and speed, engineering AI-driven solutions that provide a competitive advantage

Design, build, monitor, and scale AI components, APIs, and applications integrated with high-availability systems

Implement security standards, TDD, and pipeline deployment automation for reliability and scalability

Mentor junior teammates and lead code reviews and improvement efforts

Analyze and implement performance, stability, and reliability initiatives

Plan, create, and execute automated and performance testing

Work within Agile squads operating in two-week sprints

Own and support what you build, including production issue triage and continuous improvement

Develop an AI-first mindset and help democratize AI adoption

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