

Kaygen, Inc.
MLOPS Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with 5+ years of experience in MLOps, AWS expertise, and CI/CD automation skills. Duration is 2 months, remote with initial travel to NYC/Charlotte. Financial services experience preferred; degree in Computer/Data Science required.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
Unknown
-
๐๏ธ - Date
October 30, 2025
๐ - Duration
1 to 3 months
-
๐๏ธ - Location
Remote
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
Secaucus, NJ
-
๐ง - Skills detailed
#Computer Science #Cloud #GitHub #Automation #Terraform #Consulting #Deployment #Data Engineering #Data Science #ECR (Elastic Container Registery) #GitLab #Kubernetes #PySpark #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Infrastructure as Code (IaC) #ML (Machine Learning) #Docker #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #SageMaker #Jenkins
Role description
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries.
Job Title: MLOPS Engineer
Location: NYC, NY / Charlotte, NC
Duration: 2 Months
Roles and Responsibilities:
โข MLOps / ML Engineering: 5+ years of experience in MLOps or ML Engineering.
โข AWS Expertise: Strong knowledge of AWS services, particularly SageMaker, Lambda, ECR, ECS/EKS, S3, and Step Functions.
โข CI/CD Automation: Hands-on experience with CI/CD tools for ML, such as GitHub Actions, GitLab, Jenkins, or CodePipeline.
โข Containerization: Proficiency in containerization and deployment using Docker and Kubernetes.
โข ML Pipeline Orchestration: Experience with ML pipeline orchestration tools like SageMaker Pipelines or Kubeflow.
Requirements:
โข Educational Background: A degree in Computer Science, Data Science, or a related field.
โข Financial Services Experience: Previous experience in the financial services industry is a plus.
โข Model Lifecycle Management: Experience in implementing enterprise-grade model lifecycle management.
โข Data Engineering: Familiarity with data engineering workflows using tools like Glue, EMR, Spark, or PySpark.
โข Infrastructure as Code: Knowledge of Infrastructure as Code tools such as Terraform or AWS CloudFormation.
โข The position is remote, but the candidate must be willing to travel the first five days to New York, NY, USA, and Charlotte, NC, USA, so local candidates from these areas are preferred
At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information, please visit us at www.kaygen.com.
Benefits:
โข Free Healthcare Insurance
โข Vision and Dental Insurance
โข 401(k) Retirement Plan
โข Free Life Insurance
โข Sick Time Off
Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like:
โข Certifications
โข Mentorship Program
โข Referrals
โข Family and Wellness benefits
โข Continuous Growth and Career Developmentย
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries.
Job Title: MLOPS Engineer
Location: NYC, NY / Charlotte, NC
Duration: 2 Months
Roles and Responsibilities:
โข MLOps / ML Engineering: 5+ years of experience in MLOps or ML Engineering.
โข AWS Expertise: Strong knowledge of AWS services, particularly SageMaker, Lambda, ECR, ECS/EKS, S3, and Step Functions.
โข CI/CD Automation: Hands-on experience with CI/CD tools for ML, such as GitHub Actions, GitLab, Jenkins, or CodePipeline.
โข Containerization: Proficiency in containerization and deployment using Docker and Kubernetes.
โข ML Pipeline Orchestration: Experience with ML pipeline orchestration tools like SageMaker Pipelines or Kubeflow.
Requirements:
โข Educational Background: A degree in Computer Science, Data Science, or a related field.
โข Financial Services Experience: Previous experience in the financial services industry is a plus.
โข Model Lifecycle Management: Experience in implementing enterprise-grade model lifecycle management.
โข Data Engineering: Familiarity with data engineering workflows using tools like Glue, EMR, Spark, or PySpark.
โข Infrastructure as Code: Knowledge of Infrastructure as Code tools such as Terraform or AWS CloudFormation.
โข The position is remote, but the candidate must be willing to travel the first five days to New York, NY, USA, and Charlotte, NC, USA, so local candidates from these areas are preferred
At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information, please visit us at www.kaygen.com.
Benefits:
โข Free Healthcare Insurance
โข Vision and Dental Insurance
โข 401(k) Retirement Plan
โข Free Life Insurance
โข Sick Time Off
Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like:
โข Certifications
โข Mentorship Program
โข Referrals
โข Family and Wellness benefits
โข Continuous Growth and Career Developmentย






