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Senior AI/ML Engineer

QUANTUM TECHNOLOGIES LLCAtlanta, GA🇺🇸United States

Quick overview

Salary$85/hr
SeniorityMid Senior
Work modeHybrid
LocationAtlanta, GA, United States
DockerGitAWSNumPyOpenCVCUDADeep LearningPyTorchPythonKubernetesMachine LearningLinuxLangChain

Job description

Job Title: Senior AI/ML Engineer

Location: Atlanta,GA,USA

Duration: 6 Months + Extension

Bill Rate: $85/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Summary:
Responsibilities:

  • Implement machine learning algorithms as part of a small interdisciplinary team
  • Analyze large multi-domain datasets including images, text, time series, and graph data
  • Review and apply cutting-edge research publications
  • Create technical documentation and user guides
  • Understand training and deployment pipelines including AWS services
  • Provide training and mentoring to team members
    Qualifications:

Required:

  • B.S. in machine learning, computer science, mathematics, or related field
  • 5+ years of AI/ML development experience
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience with supervised and unsupervised learning
  • Experience with deep learning architectures
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Willingness to obtain and maintain an Active TS/SCI U.S. Government Security Clearance (Clearance must be granted prior to start date)


Desired:

  • MS or PhD in relevant technical field
  • Active TS/SCI U.S. Government Security Clearance
  • Experience leading interdisciplinary teams
  • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
  • Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
  • Linux and AWS experience
  • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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