Machine Learning Senior Software Engineer (AWS, LLMs, Python)

Financial Industry Regulatory Authority, Inc.-posted 22 days ago

$95,300 - $206,200/Yr

Full-time • Mid Level

Hybrid • Rockville, MD

1,001-5,000 employees

Religious, Grantmaking, Civic, Professional, and Similar Organizations

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We are seeking a highly skilled Machine Learning Engineer with strong experience in AWS, Large Language Models (LLMs)-especially Amazon Bedrock, Python, and modern CI/CD pipelines (Jenkins or GitLab). You will help design, build, and deploy scalable ML systems, integrate generative AI capabilities, and support end-to-end model lifecycle workflows in production.

Design, build, and deploy machine learning models and pipelines using Python, AWS services, and Amazon Bedrock.
Develop scalable APIs and microservices to expose ML/LLM capabilities using FastAPI
Build automated CI/CD pipelines using Jenkins or GitLab CI/CD for model training, testing, and deployment with robust monitoring, logging, and alerting for ML systems in production.
Optimize ML workloads using AWS services such as SageMaker, Lambda, ECS/EKS, Step Functions, and KMS.
Familiarity with containerization using Docker and orchestration with ECS, EKS, or Kubernetes..
Experience implementing RAG pipelines with vector databases (e.g., OpenSearch, Pinecone, DynamoDB, Aurora PostgreSQL + pgvector)
Knowledge of modern MLOps tools (MLflow, SageMaker Pipelines, Weights & Biases)
Experience working with API frameworks (FastAPI, Flask)
Background in security, compliance, or responsible AI principles.

Bachelor's degree in Computer Science, Information Systems or related discipline with at least 5 years of related experience, or equivalent training and/or work experience.
System design experience
Strong experience in object-oriented development
Strong experience with cloud technologies
Strong experience in data storage technologies
Experience in performance tuning and optimization
Experience in DevOps and CI\CD technologies
Experience test automation and unit testing
Experience software security

Employees may be eligible for a discretionary bonus in addition to base pay.
Non-exempt employees are also eligible for overtime pay in accordance with federal, state, or local law.
As part of its dedication to employee wellness, FINRA provides comprehensive health, dental and vision insurance.
Additional insurance includes basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment, short- and long-term disability, long-term care, business travel accident, disability and legal.
FINRA offers immediate participation and vesting in a 401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution, tuition reimbursement, commuter benefits, and other benefits that support employee wellness, such as adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs.
FINRA encourages its employees to focus on their health and wellness in many ways, including through a generous time-off program of 15 days of paid time off, 5 personal days and 9 sick days, unless otherwise required by law (all pro-rated in the first year).
Additionally, we are proud to support our communities by providing two volunteer service days (based on full-time schedule).
Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment).
Full-time employees receive nine paid holidays.

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Machine Learning Senior Software Engineer (AWS, LLMs, Python)

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