ZipRecruiter

Log In

1

Assistant Mlops Jobs in Colorado (NOW HIRING)

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

... • Understanding of MLOps and continuous model monitoring in regulated environments. • ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Billgo,-Inc.-1

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Understanding of MLOps and continuous model monitoring in regulated environments.Familiarity with ... Experience developing LLM-powered assistants or AI copilots for financial operations or support.

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

... • Understanding of MLOps and continuous model monitoring in regulated environments. • ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Armaninollp

Data & AI Platform Engineer

Denver, CO

$117K - $141K/yr

Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ... MLOps). "Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...

next page

Showing results 1-20

All JobsMlops JobsAssistant Mlops JobsAssistant Mlops Jobs in Colorado

Assistant Mlops information

What is an Assistant MLOps?

Assistant MLOps are professionals who support the deployment, monitoring, and management of machine learning models in production environments. They assist senior MLOps engineers with tasks like automating workflows, managing data pipelines, maintaining infrastructure, and ensuring model performance. Their role bridges the gap between data science and IT operations, helping organizations scale and maintain their AI solutions efficiently. Assistant MLOps often have knowledge of cloud services, CI/CD tools, and basic programming, and they work closely with data scientists and engineers.

What are the typical daily responsibilities of an Assistant MLOps?

As an Assistant MLOps professional, you can expect your daily tasks to involve supporting the deployment, monitoring, and maintenance of machine learning models in production environments. This often includes collaborating with data scientists to automate model training and testing workflows, managing cloud-based resources, and ensuring that data pipelines are running smoothly. You'll also help troubleshoot issues related to model performance or infrastructure and assist in implementing best practices for version control and continuous integration. Working closely with both engineering and data teams, you'll play a key role in ensuring that ML models remain reliable and scalable in real-world applications.

What are the key skills and qualifications needed to thrive as an Assistant MLOps?

To thrive as an Assistant MLOps, you need a solid understanding of machine learning fundamentals, programming (especially Python), and experience with cloud platforms; a degree in computer science or a related field is typically preferred. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git) is important, and certifications in cloud services (AWS, Azure, GCP) can be advantageous. Strong problem-solving, communication, and collaboration skills help you bridge the gap between data science and operations teams. These combined skills ensure efficient deployment, monitoring, and maintenance of machine learning models in production environments.

What is the difference between Assistant Mlops vs Data Engineer?

AspectAssistant MlopsData Engineer
Required CredentialsCertifications in cloud platforms, basic scripting, ML toolsComputer science degree, SQL, Python, data architecture
Work EnvironmentCollaborates with ML teams, supports deployment pipelinesBuilds data pipelines, manages databases, processes large datasets
Industry UsageAI/ML projects, cloud-based environmentsData infrastructure, analytics, big data solutions

Assistant Mlops and Data Engineer roles share overlapping skills in cloud platforms and scripting. However, Assistant Mlops focuses on supporting ML deployment and operations, while Data Engineers primarily build and maintain data infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Mlops jobs in Colorado?

The most popular types of Mlops jobs in Colorado are:

What are popular job titles related to Assistant Mlops jobs in Colorado?

For Assistant Mlops jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Assistant Mlops jobs in Colorado look for?

The top searched job categories for Assistant Mlops jobs in Colorado are:

What cities in Colorado are hiring for Assistant Mlops jobs?

Cities in Colorado with the most Assistant Mlops job openings:

Assistant Mlops jobs near you

Staff AI/ML Engineering Manager

Aurora, CO • On-site

CACI International, Inc.
See more jobs at CACI International, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Job description

Job Title: Staff AI/ML Engineering Manager
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 12/2/2026
The Opportunity:
This position is for an AI/ML Engineering Manager. We are seeking a talented and motivated AI/ML Engineering Manager to join our growing team. This is a unique player/coach role designed for an experienced AI/ML engineer who is passionate about both researching, building, developing AI/ML applications and leading people. You will be responsible for managing and mentoring a team of skilled AI/ML researchers and engineers while also actively apply cutting-edge AI/ML algorithms in a variety of domains to meet the mission needs of our customers. You'll split your time effectively between guiding your team's success and rolling up your sleeves to wrangle data, write code, build and train models, solve complex technical challenges, and contribute directly to our AI/ML portfolio.
Responsibilities:
  • Hands-on AI/ML Development: Actively participate in the end-to-end machine learning lifecycle, contributing high-quality, well-tested, and maintainable code for data pipelines, model training, evaluation, and deployment to key AI/ML projects using our tech stack.
    • Proven proficiency in Python, including experience with key machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
  • ML System Design & Architecture: Contribute to technical design discussions and architectural decisions for scalable and robust machine learning systems, including data pipelines, model training infrastructure, serving layers, and MLOps frameworks.
  • Code & Model Quality: Actively participate in code reviews, ensuring adherence to coding standards, MLOps best practices, and high-quality engineering principles, specifically for machine learning models and infrastructure (e.g., reproducibility, testability, explainability).
  • Stay Current and Mentor: Keep abreast of cutting-edge machine learning research, algorithms, MLOps tools, and cloud AI/ML services, advocating for their strategic adoption. Leverage this continuous learning to mentor and provide technical direction to your AI/ML team.
  • Lead & Mentor: Manage, coach, and mentor a team of AI/ML engineers, fostering their technical and professional growth, by providing career advice and helping with program technical guidance. Additionally, you will work with the greater AI/ML engineering group to cultivate a positive, collaborative, inclusive, and high-performing team that is focused on bringing modern AI/ML development practices and robust engineering principles across all ARKA programs.
  • Performance Management: Conduct regular 1:1 bi-weekly meetings with your team, provide feedback on both technical and non-technical topics, assist with setting clear goals, and manage performance reviews for your direct reports.
  • Collaboration: Work closely with AI/ML engineering organization and other engineering leadership to align priorities, define requirements, and ensure successful project delivery across programs.
  • Project Oversight: Help manage project priorities, timelines, and deliverables for your team, identifying and removing roadblocks.
  • Hiring & Onboarding: Participate in the recruitment, interviewing, onboarding, and retention of engineering talent for your team and the broader organization. Additionally works closely with engineering leadership to align current and new staff skillsets with program needs over time.

Qualifications:
Required:
  • Active TS/SCI Clearance
  • Bachelor's degree in computer science, data science, mathematics, engineering, or a related field
  • 3+ years of experience in a formal or informal leadership capacity (e.g., Tech Lead, Team Lead, mentoring junior engineers, project leadership)
  • 8+ years of experience developing AI/ML applications, data science, or algorithm development
  • Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
  • Experience with one or more of the following areas:
    • Applying unsupervised and/or supervised machine learning techniques
    • Applying and/or developing algorithms based in statistical analysis
    • Analyzing large datasets and building models to perform inference
  • Applying Large Language Models (LLMs) and techniques such as retrieval augmented generation (RAG), fine tuning, and prompt engineering
  • Experience with deep learning architectures (e.g. FCNs, CNNs, RNNs, Transformers, GANs)
  • Experience with modern software development methodologies (Agile, Scrum, Kanban)
  • Experience with version control systems such as Git and the associated tooling to for modern software version control
  • Excellent communication, interpersonal, and collaboration skills
  • Strong problem-solving and analytical abilities
  • A genuine passion for both technology and people leadership
  • Ability to effectively balance management responsibilities with individual technical contributions

Desired:
  • MS or PhD in machine learning, computer science, mathematics, or related fields
  • Experience directly managing AI/ML engineers, including performance management cycles
  • Experience with any of the following AI/ML domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Apply