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Junior Ai Machine Learning Python Jobs in Colorado

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing ... Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or ...

The Marlin Alliance

Sr Machine Learning Engineer

Denver, CO

$107K - $147K/yr

The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

True Anomaly

Machine Learning Engineer (I-III)

Denver, CO · On-site

$105K - $220K/yr

... AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the ... Proficient in Python * Foundational understanding of machine learning concepts including supervised ...

Workday

Machine Learning Engineer III

Boulder, CO · On-site

$136K - $240K/yr

... Python and frameworks such as Pytorch, TensorFlow - 2+ years of experience related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc ...

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Junior Ai Machine Learning Python information

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Colorado? For Junior Ai Machine Learning Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Colorado look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Colorado are:
What cities in Colorado are hiring for Junior Ai Machine Learning Python jobs? Cities in Colorado with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Colorado as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution.
Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO

Other

Posted 4 hours ago

Job description

Junior Machine Learning Engineer

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.

Role Description

Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in production. Duties include data preprocessing, feature engineering, versioning ML models, and integrating machine learning components with live products. You will actively collaborate on project teams utilizing AWS Glue, Databricks, PySpark, TensorFlow, and Azure Data Lake, and contribute to code reviews and documentation tasks.

Required Skills

The role expects demonstrable familiarity with Python, cloud-based ML pipelines, and at least one framework among PyTorch, TensorFlow, or scikit-learn. Industry tools like Databricks for big data processing and Azure Data Lake for managing unstructured datasets are highly valued. Ability to work with code repositories (Git), conduct error analysis, and communicate findings in a business-friendly manner are required. U.S. companies demand project-based evidence of your skills—real internship or portfolio work utilizing modern ML stacks makes you stand out.

Eligibility

Open to all those authorized to work in the U.S., including OPT and CPT visa holders.

Skills Development Path

If you're missing pieces of the ML and cloud deployment stack, the SynergisticIT Job Placement Program offers direct instruction and real project exposure in the precise technologies companies hire for. Supplement your journey with YouTube event recordings, industry blogs, sample interview questions, and the USA Today article. Java Job placement Program Data Science Job Placement Program for getting Hired

SynergisticIT Client Network

SynergisticIT's connections to giants like Facebook, Google, Uber, Amazon, Apple, Twitter, JPMorgan, Walmart Labs, SAP, TCS, and Capgemini ensure broad exposure to high-impact ML roles. Participants secure salaries of $95K–$150K after placement. Master both ML concepts and their real-world cloud deployment by leveraging SynergisticIT's industry-proven curriculum and client relationships, opening doors to the most in-demand U.S. ML engineering jobs.

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