This role focuses on optimizing large-scale financial modeling applications by implementing MLOps practices and maintaining end-to-end pipelines on AWS.
Description: 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. Key Responsibilities 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. System Design and Integration: Reengineer large scale model development code (from data scientists) and model application code (from software engineers) and seamlessly integrate into unified, production-ready 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
Top Skills
AWS
Ci/Cd
Machine Learning
Mlops
Software Engineering
Similar Jobs
Information Technology • Consulting
The role involves developing data pipelines using Azure Databricks and PySpark, translating banking requirements into technical designs, and ensuring data quality and governance.
Top Skills:
Azure Data FactoryAzure DatabricksPysparkSynapse Analytics
Information Technology • Consulting
Lead big data projects employing AWS and various programming languages to enhance data engineering, security, and ETL processes. Ensure adherence to project standards and timelines while fostering team collaboration and resource management.
Top Skills:
Api GatewayAWSCloudwatchDockerEcsEmrGitlabGlueJenkinsJSONLambdaParquetPl/SqlPythonRdsRedshiftS3SASSecrets ManagerSnsSQLSqsStep FunctionsTerraformUnix Shell ScriptsUrban CodeXML
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Regional Director of Sales will lead a team of Enterprise Expansion Account Executives to drive growth and manage strategic sales initiatives across their territory, focusing on customer engagement and revenue generation.
Top Skills:
Salesforce
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
