Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
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Machine Learning Engineer
Niles, IL · On-site
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Machine Learning Engineer
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Machine Learning / Data Science Engineer
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Machine Learning / Data Science Engineer CapTech is an award-winning consulting firm that ... of junior data scientists and engineers. Qualifications * Bachelor's degree or equivalent ...
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Machine Learning / Data Science Engineer
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CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... of junior data scientists and engineers. Qualifications * Bachelor's degree or equivalent ...
Machine Learning / Data Science Engineer
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Senior Machine Learning Engineer
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Senior Machine Learning Engineer Remote in US $160,000 - $190,000 Base + 10% Bonus THE COMPANY Harnham is partnering with a fintech that has built a leading fraud protection platform enabling ...
Senior Machine Learning Engineer
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As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will ...
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Lead Machine Learning / Data Science Engineer
Chicago, IL · On-site
$57.50 - $76/hr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... junior data scientists and engineers. Qualifications * 7+ years of experience delivering data ...
Lead Machine Learning / Data Science Engineer
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CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... junior data scientists and engineers. Qualifications * 7+ years of experience delivering data ...
IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... feature engineering for structured and unstructured data sources * Mentor junior researchers and ...
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Machine Learning Engineer
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$53 - $72.75/hr
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Machine Learning Engineer
Niles, IL · On-site
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Machine Learning Engineer
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Machine Learning Engineer Niles, Illinois
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Junior Sales Engineer Established for over 50 years, Yamazen Inc. is a leading importer and distributor of quality CNC manufacturing machinery, including machine tools and injection molding machines.
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Junior Machine Learning Compiler Engineer information
See Summit, IL salary details
$33.6K - $40.6K
3% of jobs
$40.6K - $47.5K
20% of jobs
$49K is the 25th percentile. Wages below this are outliers.
$47.5K - $54.4K
7% of jobs
$54.4K - $61.4K
6% of jobs
$61.4K - $68.3K
12% of jobs
The median wage is $68.8K / yr.
$68.3K - $75.3K
17% of jobs
$78.9K is the 75th percentile. Wages above this are outliers.
$75.3K - $82.2K
17% of jobs
$82.2K - $89.1K
7% of jobs
$89.1K - $96.1K
4% of jobs
$96.1K - $103K
3% of jobs
$103K - $109.9K
2% of jobs
$33.6K
$72.1K
$109.9K
How much do junior machine learning compiler engineer jobs pay per year?
What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?
What does a Junior Machine Learning Compiler Engineer do?
What are the key skills and qualifications needed to thrive as a Junior Machine Learning Compiler Engineer, and why are they important?
What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?
| Aspect | Junior Machine Learning Compiler Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworks | Bachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills |
| Work Environment | Software development teams, focusing on compiler optimization for ML models | Data analysis teams, focusing on data interpretation and model development |
| Employer & Industry Usage | Tech companies, AI startups, hardware firms | Tech firms, finance, healthcare, research institutions |
The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

Full-time
Posted 10 days ago
Job description
Position Responsibilities:Â
- Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning modelsÂ
- Deploy and manage ML models in production environments using containerization and orchestration technologiesÂ
- Implement monitoring, logging, and alerting solutions to track model performance, system health, and data driftÂ
- Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready stateÂ
- Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deploymentsÂ
- Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processesÂ
- Travel up to 5% of the timeÂ
- Other duties as assigned Â
Required Education and Experience:Â
- Bachelor's degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experienceÂ
Preferred Education and Experience:Â
- Master's Degree in computer science, Data Science, or other graduate education in related quantitative fieldsÂ
- Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycleÂ
- Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)Â
- Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operationsÂ
- Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similarÂ
- Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar