AI/ML Engineer

Jobtailor; Colorado; On-site; USD 130,000 - 180,000; Full time

Job summary

Jobtailor in Colorado is seeking a senior AI/ML engineer to implement machine learning algorithms within a small interdisciplinary team. You will analyze large multi-domain datasets (images, text, time series, graphs) and review cutting-edge research while contributing to training and deployment pipelines on AWS.

The role requires a B.S. in a technical field, 5+ years of AI/ML experience, Python expertise, and the ability to obtain/maintain TS/SCI clearance; occasional travel (~10%) and

Qualifications

• 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 such as Git, GitLab, or Bitbucket
• Ability to obtain/maintain a TS/SCI U.S. Government Security Clearance
• Up to 10% local travel
• Desired: MS or PhD in relevant technical field
• Desired: Experience leading interdisciplinary teams
• Desired: Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
• Desired: Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
• Desired: Linux and AWS experience
• Desired: Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF
• Desired: Experience in application deployment, virtualization, and containerization such as Podman, Docker, Kubernetes, or Rancher
• Desired: Familiarity with AWS resources such as EC2, S3, and Lambda
• Desired: Active TS/SCI U.S. Government Security Clearance with recent Polygraph

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
• Support development of AI/ML algorithms across object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models

Skills

Machine Learning Development

Python Proficiency

AI/ML Algorithm Implementation

Deep Learning Architectures

Reinforcement Learning

Supervised Learning

AWS Services Familiarity

Education

B.S. in machine learning, computer science, mathematics, or related field

MS or PhD in relevant technical field

Tools

PyTorch

OpenCV

NumPy

HuggingFace

LangChain

CUDA

Docker

Kubernetes

Git

Job description

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


• Support development of AI/ML algorithms across object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models

Requirements

• 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 such as Git, GitLab, or Bitbucket


• Ability to obtain/maintain a TS/SCI U.S. Government Security Clearance


• Up to 10% local travel


• Desired: MS or PhD in relevant technical field


• Desired: Experience leading interdisciplinary teams


• Desired: Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning


• Desired: Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV


• Desired: Linux and AWS experience


• Desired: Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF


• Desired: Experience in application deployment, virtualization, and containerization such as Podman, Docker, Kubernetes, or Rancher


• Desired: Familiarity with AWS resources such as EC2, S3, and Lambda


• Desired: Active TS/SCI U.S. Government Security Clearance with recent Polygraph

Core Competencies

Demonstrates expertise in implementing machine learning algorithms and analyzing complex datasets, with proficiency in Python and various ML libraries. Capable of providing training and mentoring while understanding deployment pipelines and maintaining security clearances.

Highest-signal resume keywords

• Machine Learning Development


• Python Proficiency


• AI/ML Algorithm Implementation


• Deep Learning Architectures


• AWS Services Familiarity

ATS Optimization Keywords

Hard Skills

• Machine Learning


• Deep Learning


• Supervised Learning


• Unsupervised Learning


• Object Detection


• Natural Language Processing


• Reinforcement Learning


• Version Control


• Technical Documentation


• Data Analysis

Soft Skills

• Team Collaboration


• Mentoring


• Interdisciplinary Team Leadership

Certifications & Qualifications

• TS/SCI U.S. Government Security Clearance

Industry Keywords

• AI


• ML


• Data Science


• Computer Science


• Mathematics


• Virtualization


• Containerization


• Large Language Models


• Transformers


• Graph Data

Tools & Technologies

• Python Libraries


• PyTorch


• OpenCV


• NumPy


• AWS


• Docker


• Kubernetes


• Git


• HuggingFace


• LangChain