RIT Solutions, Inc. · 9 hours ago
AWS Full Stack ML Engineer (Financial Modeling)
Washington, DC
Full-time
Onsite
Mid, Senior Level
4+ years expRIT Solutions, Inc. is seeking an experienced and highly skilled AWS Full Stack ML Engineer to optimize large-scale financial modeling applications. This role requires expertise in machine learning, software engineering, and AWS cloud infrastructure to implement robust MLOps practices and ensure scalability and reliability in a fast-paced financial environment.
Staffing & Recruiting
Responsibilities
Design, build, and maintain end-to-end MLOps pipelines for the continuous integration, training, deployment, and monitoring of ML models on AWS
Seamlessly integrate model development code (from data scientists) and model application code (from software engineers) into unified, production-ready systems
Design and manage scalable and efficient ETL pipelines and data processing workflows for large-scale financial datasets, ensuring data quality and availability for model training and inference
Monitor and optimize AWS resource utilization to ensure cost-effectiveness, high availability, and performance for compute-intensive financial modeling applications
Utilize Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation to provision and manage secure, compliant, and reproducible ML infrastructure
Implement robust monitoring, logging, and alerting frameworks (e.g., Amazon CloudWatch) to track model performance, data drift, and system health in production
Ensure all ML systems adhere to stringent financial industry regulations and security best practices (e.g., data encryption, IAM roles, VPC configurations)
Work closely with cross-functional teams, including data scientists, data engineers, and software developers, to translate business requirements into technical solutions and champion MLOps best practices across the organization
Qualification
Required
Proven experience (4+ years preferred) in MLOps, DevOps, or a related role, with hands-on experience deploying ML applications at scale
Strong proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
In-depth experience with key AWS services for ML and data, including Amazon SageMaker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM
Experience with containerization (Docker), orchestration (ECS/Kubernetes/EKS), CI/CD tools (GitLab, AWS CodePipeline, Jenkins), and workflow orchestrators (Apache Airflow or AWS Step Functions)
Solid understanding of software development lifecycle, including testing, debugging, version control (Git), and code quality standards
Excellent analytical and problem-solving skills, with the ability to troubleshoot complex, interconnected systems
A Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field
Preferred
Familiarity with the specific challenges and regulatory environment surrounding financial modeling and data is a strong plus
AWS Certified Machine Learning - Specialty certification, AWS Certified Solutions Architect – Associate, or other relevant cloud certifications
Company
RIT Solutions, Inc.
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201-500 employees
H1B Sponsorship
RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1)
2023 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase