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Staff AI and ML Engineer
to address business problems Analyze data trends, identify patterns, and derive actionable insights Develop, train, and evaluate machine learning and deep learning models, and deploy them into production environments Requirements: Proficiency in Python..., SQL, and machine learning frameworks (e.g., PyTorch, TensorFlow) Experience with computer vision and image processing techniques Strong understanding of statistics, probability, and financial modeling Hands-on experience with cloud platforms (AWS
Pricing Analyst II
market data research Required Qualifications Bachelor's Degree or equivalent experience 2 or more years of prior work-related experience 2-4 years analytical experience in mortgage banking, reinsurance, or financial services preferred Knowledge of Python..., SQL, SAS, VBA, and/or similar programming languages Experience with AWS and BI tools such as Tableau or Power BI
Senior Finance Machine Learning Engineer
Collaborate with cross-functional teams to align data science solutions with business objectives Required Qualifications: 4+ years of experience in data science, with expertise in model deployment and GenAI or LLM applications Strong proficiency in Python..., SQL, and statistical modeling techniques Experience building production data pipelines in AWS Knowledge of time series analysis and advanced feature engineering Experience with finance datasets and SOX compliance requirements
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Senior Solutions Engineer
similar work experience Experience with Event-Driven architecture, Data Integration & Processing Techniques First-Hand exposure to Cloud Architecture, Migrations, and Deployment Experience with Automation, GitOps, and Kubernetes Proficiency in Java, Python..., or SQL
Senior Solutions Engineer
Engineering or similar work experience Experience with Event-Driven architecture and Data Integration techniques First-hand exposure to Cloud Architecture and Application Development Experience with Automation, GitOps, and Kubernetes Proficiency in Java, Python..., or SQL
Senior Solutions Engineer
Required Qualifications 5+ years of Solutions Engineering or similar work experience Experience with event-driven architecture and data integration techniques First-hand exposure to cloud architecture and application development Proficiency in Java, Python..., or SQL Technical certifications in Cloud Development or Data Engineering
Solutions Engineer
customers, acting as a trusted technical advisor Create technical documentation, playbooks, and best practice guides for customers and internal teams Required Qualifications Experience in pre-sales, solutions engineering, or consulting Strong skills in Python...and SQL Familiarity with AWS Ability to navigate ambiguity and find patterns in complex environments Excitement to work with large volumes of data and in a dynamic tech landscape
Application Architect
pipelines, delivering projects Conducts technical research, testing, and evaluation of hosting/configuration tools and methodologies Required Qualifications 8 or more years of experience as an application designer with programming languages such as C, Linux.../Unix, and SQL Experience with RDBMS databases like SQL Server and Oracle, preferably with healthcare data Familiarity with software development tools and source code repositories such as GitLab Analytical skills for design, creation, and testing of
Solutions Engineer
years of Solutions Engineering or similar work experience Experience with Event-Driven architecture, Data Integration & Processing Techniques First-hand exposure to Cloud Architecture, Migrations, and Application Development Proficiency in Java, Python..., or SQL Technical certifications in Cloud Development/Architecture or Data Engineering & Integration
Engineering Manager
prioritize objectives while building reliable data services Required Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field 5+ years of experience in building distributed system architecture Strong programming skills in Python..., and SQL or SparkSQL Experience with data stores, pipeline orchestration tools, and data processing technologies Familiarity with deployment and monitoring infrastructure in public cloud platforms
