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Junior Aws Machine Learning Jobs in Colorado (NOW HIRING)

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

$200 - $250/hr

Design and operate AppFolio's ML infrastructure on AWS, including ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls. * Optimize AI cost across all applications through routing ...

Deloitte

Cyber - AWS Cloud Security - Manager

Denver, CO · On-site

$114K - $154K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Deloitte

Cyber - SecOps - Consultant

Denver, CO · On-site

... machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS ...

Crusoe

Cloud Support Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Domaintools

Senior Software Engineer

Denver, CO · On-site

$140 - $190/hr

Provide technical leadership, assist in on-boarding & mentoring of junior engineers * 5+ years of ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

DomainTools

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

Provide technical leadership, assist in on-boarding & mentoring of junior engineers Requirements ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Crusoe

Cloud Support Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ... Certifications in AI/ML or related fields, such as AWS Certified Machine Learning Specialty or ...

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Junior Aws Machine Learning information

What is a junior AWS machine learning engineer?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

Are there entry level AWS jobs?

Yes, there are entry-level AWS jobs such as Junior AWS Machine Learning roles that typically require foundational knowledge of cloud computing, basic understanding of machine learning concepts, and familiarity with AWS services like S3, EC2, and SageMaker. These roles often serve as starting points for careers in cloud and machine learning fields and may require certifications like AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty. Candidates should be prepared to learn on the job and develop skills through training and hands-on experience.

What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

What is the difference between Junior Aws Machine Learning vs Data Scientist?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

What are the most commonly searched types of Aws Machine Learning jobs in Colorado? The most popular types of Aws Machine Learning jobs in Colorado are:
What are popular job titles related to Junior Aws Machine Learning jobs in Colorado? For Junior Aws Machine Learning jobs in Colorado, the most frequently searched job titles are:
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What cities in Colorado are hiring for Junior Aws Machine Learning jobs? Cities in Colorado with the most Junior Aws Machine Learning job openings:
Junior Aws Machine Learning jobs near you

Staff Machine Learning Engineer

AppFolio

Denver, CO • On-site

$200 - $250/hr

Other

Re-posted 9 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

181st of 242 rated software companies

Job description

Overview

Build and operate the ML platform that powers AppFolio’s AI-native Real Estate platform, ensuring scalable training, inference, and cost‑efficient operations across AWS and multi‑provider LLMs.

Responsibilities
  • Design and operate AppFolio's ML infrastructure on AWS, including ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Optimize AI cost across all applications through routing, caching, batch vs. real‑time processing, model size selection, and inference economics.
  • Maintain reliable multi‑provider LLM access across Google, OpenAI, and Anthropic, with fallbacks and abstractions.
  • Build the training and fine‑tuning stack for small language models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize research prototypes with SLOs, on‑call rotations, and observability.
  • Operate AppFolio's AI safety and authorization layer, including guardrails on AWS, scoped tool permissions, and human‑in‑the‑loop gates.
Qualifications
  • Experience building and operating production ML infrastructure at scale on AWS (ECS, SageMaker, GPUs, autoscaling, cost controls).
  • Production experience with model serving for LLMs and custom models, understanding quantization, batching, and routing.
  • Direct experience integrating with Google Vertex/Gemini, OpenAI, and Anthropic APIs in production.
  • Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • Experience with RAG and agents (LangChain, LangGraph, modern RAG patterns).
  • Demonstrated cost optimization for AI workloads without regressing quality or latency.
  • Hands‑on experience operating AI guardrails, scoped tool permissions, and authorization layers.
  • Systems thinker, production builder, owner‑operator, strong desire to move fast, collaborative, and reliable mindset.
Nice to Have
  • Experience training small language models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior staff‑level role in a company with a significant AI infra footprint.
  • Experience with ontology‑driven systems or knowledge graphs supporting AI applications.
  • Contributions to open‑source ML infrastructure or LLM tooling.
Location

Remote (San Francisco, CA; Denver, CO; Santa Barbara, CA; San Diego, CA)

Compensation

Base salary $200,000 – $250,000 per year. Total rewards include benefits and potential discretionary bonuses.

Equal Opportunity Statement

At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our culture. AppFolio is a proud Equal Opportunity Employer, and we welcome individuals of any race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, ancestry, physical or mental disability, or veteran status.

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What AppFolio employees say

Pay

Benefits

Hours and flexibility

Workplace

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