AWS Full Stack ML Engineer

Job Title: AWS Full Stack ML Engineer

Location: hybrid – Washington DC, or Reston, VA

Long Term

Contract:

Long term contract

Rate: $60 - $65 / hr.

Benefits: This position is eligible for medical, dental, vision, and 401(k).

Work Auth: (TN, EAD-GC, GC, or US Cit.) - (Must be eligible to work on a W2 without requiring sponsorship now or in the future)

We are seeking an experienced and highly skilled AWS Full Stack ML Engineer to operationalize and optimize our large-scale financial modeling applications. This role requires a unique blend of expertise in machine learning, software engineering, and AWS cloud infrastructure, with a strong focus on implementing robust MLOps practices to ensure scalability, reliability, and cost-efficiency. The ideal candidate will bridge the gap between data science and production systems, transforming data science prototypes into secure, high-performance, and compliant solutions in a fast-paced financial environment.

• Implement MLOps and CI/CD:
  Design, build, and maintain end-to-end MLOps pipelines for the continuous integration, training, deployment, and monitoring of ML models on AWS.
• Code Integration:
  Seamlessly integrate model development code (from data scientists) and model application code (from software engineers) into unified, production-ready systems.
• Automate Data Processing:
  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.
• Optimize AWS Service Usage:
  Monitor and optimize AWS resource utilization to ensure cost-effectiveness, high availability, and performance for compute-intensive financial modeling applications.
• Infrastructure Management:
  Utilize Infrastructure as Code (IaC) tools like Terraform or AWS Cloud Formation to provision and manage secure, compliant, and reproducible ML infrastructure.
• Monitoring and Alerting:
  Implement robust monitoring, logging, and alerting frameworks (e.g., Amazon Cloud Watch) to track model performance, data drift, and system health in production.
• Security and Compliance:
  Ensure all ML systems adhere to stringent financial industry regulations and security best practices (e.g., data encryption, IAM roles, VPC configurations).
• Collaboration:
  
  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.

• Experience:
  
  Proven experience (4+ years preferred) in MLOps, Dev Ops, or a related role, with hands‑on experience deploying ML applications at scale.
• Programming Proficiency:
  Strong proficiency in Python and relevant ML libraries/frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn).
• AWS Expertise:
  In-depth experience with key AWS services for ML and data, including Amazon Sage Maker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM.
• MLOps Tools:
  Experience with containerization (Docker), orchestration (ECS/Kubernetes/EKS), CI/CD tools (Git Lab, AWS Code Pipeline, Jenkins), and workflow orchestrators (Apache Airflow or AWS Step Functions).
• 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 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.

A Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.

• AWS Certified Machine Learning - Specialty certification
• AWS Certified Solutions Architect – Associate, or other relevant cloud certifications

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non‑discrimination in employment in every location in which the company has facilities.

Reasonable accommodation is available for qualified individuals with disabilities, upon request.