

ML Engineer, Mid-Level
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level ML Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, GCP, MLOps, and experience with CI/CD processes. A Bachelor's degree and 3+ years of relevant experience are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 7, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dearborn, MI
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π§ - Skills detailed
#Terraform #GCP (Google Cloud Platform) #Airflow #Jenkins #BigQuery #Cloud #C++ #Data Science #Strategy #ML (Machine Learning) #Infrastructure as Code (IaC) #Docker #Python #DevOps #Bash #AI (Artificial Intelligence) #Programming #Kubernetes #Scripting #Computer Science
Role description
Verified Job On Employer Career Site
Job Summary:
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. They are seeking a Machine Learning Engineer to lead and advance their internal Data Science and AI/ML platform strategy, collaborating with a dynamic team to develop machine learning and generative AI applications.
Responsibilities:
β’ Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
β’ Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
β’ Maintain and mange current CI/CD ecosystem and tools
β’ Find ways to automate and continually improve current CI/CD processes and release processes
β’ Examine, inspect codes / scripts and resolve issues
β’ Help innovate standardize machine learning development practices.
β’ Experiment, innovate and share knowledge with the team.
β’ Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
β’ Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies
Qualifications:
Required:
β’ A Bachelorβs degree in Computer Science / Computer Engineering or similar technical discipline.
β’ 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
β’ 2+ years of experience with Cloud Engineering / Services
β’ Experience in MLOPs and Gen AI β LLM, Development experience with building RAG and Multi Agent Application
β’ Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
β’ Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++
β’ Experience in DevOps: Jenkins/Tekton etc.
β’ Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
β’ Experience in container management solution: Kubernetes, Docker
β’ Experience in scripting language: Bash, PowerShell etc.
β’ Experience with Infrastructure as code: Terraform etc.
Company:
Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce. Founded in 1995, the company is headquartered in Richmond, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Apex Systems has a track record of offering H1B sponsorships.
Verified Job On Employer Career Site
Job Summary:
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. They are seeking a Machine Learning Engineer to lead and advance their internal Data Science and AI/ML platform strategy, collaborating with a dynamic team to develop machine learning and generative AI applications.
Responsibilities:
β’ Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
β’ Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
β’ Maintain and mange current CI/CD ecosystem and tools
β’ Find ways to automate and continually improve current CI/CD processes and release processes
β’ Examine, inspect codes / scripts and resolve issues
β’ Help innovate standardize machine learning development practices.
β’ Experiment, innovate and share knowledge with the team.
β’ Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
β’ Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies
Qualifications:
Required:
β’ A Bachelorβs degree in Computer Science / Computer Engineering or similar technical discipline.
β’ 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
β’ 2+ years of experience with Cloud Engineering / Services
β’ Experience in MLOPs and Gen AI β LLM, Development experience with building RAG and Multi Agent Application
β’ Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
β’ Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++
β’ Experience in DevOps: Jenkins/Tekton etc.
β’ Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
β’ Experience in container management solution: Kubernetes, Docker
β’ Experience in scripting language: Bash, PowerShell etc.
β’ Experience with Infrastructure as code: Terraform etc.
Company:
Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce. Founded in 1995, the company is headquartered in Richmond, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Apex Systems has a track record of offering H1B sponsorships.