AWS Full Stack ML Ops Engineer

Hybrid in Reston, VA, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

SES

Fitment

Dice Job Match Score™

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Job Details

Skills

Python
ML Ops
AI
ML
Machine Learning
AWS
Lambda
Glue
SageMaker
DevOps
Terraform
Docker
CI/CD
Fargate
EC2
Agile
Amazon EC2
Amazon S3
Amazon SES
Amazon SageMaker
Amazon Web Services
Analytical Skill
Apache Airflow
Big Data
Business Intelligence
Cloud Computing
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Cyber Security
Data Warehouse
Debugging
Finance
Financial Modeling
Git
GitLab
Jenkins
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microservices
Orchestration
Problem Solving
Program Management
PyTorch
SOA
Software Engineering
Statistics
Step-Functions
System Integration
Systems Design
Systems Engineering
TensorFlow
Testing
Version Control
Workflow
scikit-learn

Summary

Top 5 Technical Skills:

MLOps
Python
AWS (SageMaker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM)
Docker/Terraform
CICD

Required Skills and Qualifications

15+ years of overall exepreince - Proven experience (6+ years preferred) in MLOps, DevOps, or a related role, with hands-on experience in developing and deploying ML applications at scale.
Programming Proficiency: Strong proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
AWS Expertise: In-depth experience with key AWS services for ML and data, including Amazon SageMaker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM.
MLOps Tools: Experience with containerization (Docker), orchestration (ECS//EKS), CI/CD tools (GitLab, AWS CodePipeline, Jenkins), and workflow orchestrators (AWS Step Functions, Apache Airflow ).
Financial Domain Knowledge (Preferred): Familiarity with the specific challenges and regulatory environment surrounding financial modeling and data is a strong plus.
Software Engineering Best Practices: Solid understanding of software system design, microservice implementation, development lifecycle, including testing, debugging, version control (Git), and code quality standards.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex, interconnected systems.
Education: A Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field
Certifications (Preferred): AWS Certified Machine Learning - Specialty certification, AWS Certified Solutions Architect Associate, or other relevant cloud certifications.

About SES:
Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
Contact Information:
Please contact me for all of the details of the client company, environment, and the position. I look forward to speaking with you.

Jim Murphy

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10112536
Position Id: 8930640
Posted 6 hours ago

Company Info

About SES

SES is in the business of helping IT organizations operate more productively by providing a full spectrum of IT Services through a client-friendly delivery model. Whether delivering consultants on a flexible staffing basis or assuming total project control, we are so confident in our delivery that we back our services with a Money-Back Guarantee.

Since our inception, SES has been providing Technology Talent and Solutions to our Clients. Our reputation as a dependable partner is built on the proven experience we’ve gained as a full-spectrum source for IT Services and the custom approach we take with each of our Clients. Whether it’s delivering complex systems on site with our clients through Collaborative InSourcing or delivering Ready-Made Project Teams through our Remote Development Site, our Clients view us as a partner because we deliver what we promise and we are committed to their success.

Headquartered in Reston, VA with offices around the US, SES has partnered with more than 100 of the Fortune 500 during our 30 year history. Our experience, flexibility, and immense talent pool allows us to serve our Clients’ needs at an enterprise level. If you value a partner who considers quality, value, and integrity as the key ingredients to a successful partnership, then let SES make your next IT initiative a success. Now there is a better way…

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