FINRA · 1 day ago
Machine Learning Senior Software Engineer (AWS, LLMs, Python)
FINRA is seeking a highly skilled Machine Learning Engineer with strong experience in AWS and Large Language Models. The role involves designing, building, and deploying scalable ML systems, integrating generative AI capabilities, and supporting end-to-end model lifecycle workflows in production.
FinanceFinancial ServicesNon Profit
Responsibilities
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
Qualification
Required
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
Strong experience in AWS
Strong experience in Large Language Models (LLMs)—especially Amazon Bedrock
Strong experience in Python
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 in test automation and unit testing
Experience in software security
System design experience
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
Benefits
Comprehensive health, dental and vision insurance
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
401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution
Tuition reimbursement
Commuter benefits
Adoption assistance
Backup family care
Surrogacy benefits
Employee assistance
Wellness programs
15 days of paid time off
5 personal days
9 sick days
Two volunteer service days
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)
Childbirth and parental leave (available after 90 days of employment)
Nine paid holidays
Company
FINRA
The Financial Industry Regulatory Authority (FINRA) is an independent regulator for securities firms doing business in the U.S. It is a sub-organization of Thrivent.
H1B Sponsorship
FINRA 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (59)
2024 (43)
2023 (35)
2022 (56)
2021 (27)
2020 (37)
Funding
Current Stage
Late StageLeadership Team
Recent News
2026-01-06
Investment News
2026-01-06
Company data provided by crunchbase