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Entry-Level Machine Learning Engineer
Job Location:
Job Location:
Denver, CO - USA
Yearly Salary:
USD 95000 - 150000
Yearly Salary:
Posted:
22 October 2026 (2 days ago)
Posted:
Application Deadline:
19 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Since 2010 SynergisticIT has helped more than 10000 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 skillsreal 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 youre 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
SynergisticITs 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 SynergisticITs industry-proven curriculum and client relationships opening doors to the most in-demand U.S. ML engineering jobs.
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 skillsreal 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 youre 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
SynergisticITs 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 SynergisticITs industry-proven curriculum and client relationships opening doors to the most in-demand U.S. ML engineering jobs.
Required Experience:
Junior IC
About Company
SynergisticIT provides expert software development in AI/ML, Data Science and Java Devops! Home of The best Data Scientists and Java Developers
