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Ml Data Associate Jobs in Colorado (NOW HIRING)

Terumo BCT, Inc.

AI Engineer

Lakewood, CO · On-site

Requisition ID: 35187 At Terumo Blood and Cell Technologies, our 8,000+ global associates proud to ... Data platforms (Spark, Databricks, Hadoop) * Experience with agent-based architecture or ...

Litera

Associate, Legal Knowledge Engineering

Denver, CO · Hybrid

$115K - $133K/yr

Develop and refine "smart fields" - ML algorithms that automatically locate key provisions in ... and data points worth building into the platform. * Legally sound product workflows. Advise ...

NELNET BUSINESS SOLUTIONS

AI Engineer

Centennial, CO · On-site

At Nelnet, we believe in the transformative power of data and technology to drive business ... This posting covers multiple levels within the AI / ML Engineer role. We are currently seeking ...

DigitalOcean

Senior Corporate Counsel, Product

Denver, CO · On-site

$143K - $195K/yr

As a Senior Corporate Counsel, Product, reporting to the Associate General Counsel at DigitalOcean ... data security, IP and open source, or emerging AI / ML regulation. * Familiarity with cloud ...

Sanborn Map

Geospatial Technician

Colorado Springs, CO · On-site

$17 - $22/hr

With the latest software and AI/ML methods, Sanborn transforms spatial data into 2D and 3D maps ... Associates degree preferred or higher, or certificate in relevant course of study, or the ...

Pwc

GenAI Python Systems Engineer-Director

Denver, CO · On-site

$155K - $410K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

GenAI Python Systems Engineer-Manager

Denver, CO · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Walmart

(USA) Senior, Software Engineer

Denver, CO · On-site

$99K - $198K/yr

Integrate LLMs or ML models in Workflows. * Data Governance & Quality: Enforce strict data quality ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Vizio

(USA) Senior, Software Engineer

Denver, CO · On-site

$99K - $198K/yr

Integrate LLMs or ML models in Workflows. * Data Governance & Quality: Enforce strict data quality ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI ...

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI ...

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Showing results 41-60

All JobsMl Data Associate JobsMl Data Associate Jobs in Colorado

Ml Data Associate information

See Colorado salary details

$60.5K

$71.5K

$135.6K

How much do ml data associate jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml data associate in Colorado is $71,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Colorado?

For Ml Data Associate jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Colorado look for?

The top searched job categories for Ml Data Associate jobs in Colorado are:

What cities in Colorado are hiring for Ml Data Associate jobs?

Cities in Colorado with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,544 per year, or $34.4 per hour.

AI Engineer

Terumo BCT, Inc.

Lakewood, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Requisition ID: 35187
At Terumo Blood and Cell Technologies, our 8,000+ global associates proud to come to work each day, knowing that what we do impacts the lives of patients around the world. For Terumo, for Everyone, Everywhere.
We make medical devices and related products that are used to collect, separate, manufacture and process various components of blood and cells. With our innovative technologies and service offerings, we touch a patient's life every second of every day and are committed to continuing to increase the number of patients we serve. Advancing healthcare with heart.
With some of the best and brightest minds in the industry, an unmatched global footprint, comprehensive benefits and a distinct culture, Terumo Blood and Cell Technologies is a great place to work, grow and be part of a team that is focused on making a difference. Join us and help shape wherever we go next. You create your future and ours.
AI Engineer
JOB SUMMARY
We are seeking a motivated AI Engineer who, working under general direction, designs, builds, and operates AI-enabled capabilities in production environments. Responsible for implementing reliable AI services, products, and workflows, integrating with enterprise systems, and applying practical engineering discipline to deliver secure, maintainable solutions under real constraints.
ESSENTIAL DUTIES
Product Management
  • Designs and implements AI-enabled services, products, and workflows, taking use cases from POC and prototype through production release and maintenance.
  • Develops and maintain software components required to integrate AI capabilities into applications and operational workflows.
  • Establishes reliable delivery practices for AI services, including automated build/release patterns and operational readiness.
  • Monitors system behavior and performance, troubleshooting issues and driving improvements to reliability, latency, and cost.
  • Applies practical MLOps practices appropriate to the solution (versioning, evaluation, monitoring signals, and safe rollout patterns).
  • Reviews and improves code quality (including AI-assisted code) to ensure correctness, security, and maintainability.
  • Partners with product and cross-functional stakeholders to translate requirements into deliverable scope, surfacing tradeoffs early and keeping work unblocked.
  • Documents system behavior, operational procedures, and key design decisions to support long-term supportability.

Responsible & Compliant AI
  • Follow medical device quality system processes, documentation standards, and audit expectations.
  • Support AI risk assessment, validation, traceability, and performance monitoring activities.
  • Contribute to explainability, bias evaluation, and safety controls.
  • Document best practices and key learnings to support organizational knowledge sharing.

Collaboration & Learning
  • Partners and collaborates with business stakeholders, Digital Transformation team, ITS team members, and Terumo Corporate associates to deliver enterprise and corporate solutions
  • Document methods, architecture decisions, and model evaluations.
  • Engage in continuous learning on medical device regulations, AI governance, and emerging AI technologies.
  • Mentor other team members and contribute to a collaborative, growth-oriented team culture.

Other Duties and Responsibilities
  • Participates in evaluation of tools and approaches that improve engineering productivity and operational reliability of AI systems.
  • Contributes to shared engineering standards and best practices across AI projects.
  • Supports knowledge sharing through documentation, demos, education events, and peer collaboration.

MINIMUM QUALIFICATION REQUIREMENTS
Education
Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field; or equivalent education and experience sufficient to successfully perform the essential functions of the job may be considered.
Experience
  • Minimum of 3 years of demonstrated experience building and operating production-grade software services, including exposure to AI/ML or LLM-based capabilities.
  • Hands-on experience deploying and supporting solutions in production environments (Azure preferred) that integrate with enterprise systems and data sources.
  • Experience with modern engineering practices, including source control, automated testing, and release management.

Skills
  • Strong debugging and systems-thinking skills; ability to diagnose issues across service boundaries.
  • Practical ability to deploy and operate AI/ML or LLM-based systems in real environments.
  • Familiarity with MLOps or production support practices, such as versioning, evaluation signals, monitoring, and safe rollout patterns.
  • Ability to make disciplined tradeoffs across scope, timelines, and operational risk.
  • Clear written and verbal communication skills; effective collaboration across technical and non-technical teams.

Preferred Qualifications
Exposure to:
  • Medical device or healthcare industry (internship, course, lab, project)
  • Data platforms (Spark, Databricks, Hadoop)
  • Experience with agent-based architecture or conversational AI platforms
  • Understanding of regulated software concepts (e.g., GxP, ISO 13485, ISO 42001, MDSAP, IEC 62304*, SaMD guidance*)
  • Familiarity with responsible AI, model interpretability, or bias mitigation Strong analytical and structured problem-solving skills.

PHYSICAL REQUIREMENTS
Typical Office Environment requirements include: reading, speaking, hearing, close vision, traverse, bending, sitting, and occasional lifting up to 20 pounds.
Target Pay Range: $126,800.00 to $158,500.00 - Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data
Target Bonus on Base: 7.0
We anticipate this requisition will be open for a minimum of five days, from 6/29/2026. We encourage your prompt application.
At Terumo Blood and Cell Technologies, we provide competitive total reward offerings that consist of compensation, benefits, recognition, along with a wealth of other well-being, work-life and recognition programs which support in unlocking the potential for you and your family. Included in our expansive list of benefits offerings are multiple group medical, dental and vision plans, a robust wellness program, life insurance and disability coverages, also a variety of voluntary programs such as group accident, hospital indemnity, critical illness, pet insurance and much more. To help you save for retirement, we offer a 401(k) plan with a matching contribution and for work-life balance we have vacation and sick time programs for associates. For us, it's about protecting the personal welfare of our associates and their families, helping to achieve personal goals and offering those extra touches for convenience, security and overall peace of mind.
We are proud to be an Equal Opportunity Affirmative Action Employer. All applicants will be afforded equal opportunity without discrimination because of race, color, religion, sex, gender identity or expression, sexual orientation, marital status, order of protection status, national origin or ancestry, citizenship status, age, physical or mental disability unrelated to ability, military status or an unfavorable discharge from military service.

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