{"schemaVersion":"jobsearcher.job.v1","id":"4bfa3fc3e387a5f9f431d51a","url":"https://jobsearcher.com/jobs/4bfa3fc3e387a5f9f431d51a","canonicalUrl":"https://jobsearcher.com/jobs/4bfa3fc3e387a5f9f431d51a","title":"Python Developer","description":"We are looking for a seasoned Python Developer (AI/ML) to join our team and help build the future of intelligent financial systems. If you are passionate about building scalable data architectures and deploying sophisticated AI Agents that solve real-world problems, we want to talk to you.In this role, you will bridge the gap between high-level AI research and robust, production-grade engineering. You’ll be responsible for designing and maintaining the pipelines that power our AI/ML initiatives, ensuring they are scalable, secure, and highly performant.The Tech StackCore: Python, PySpark/Spark, AWS (S3, EMR, Lambda, SageMaker)The \"Plus\" List: Databricks, Terraform (IaC)Focus Areas: AI/ML Engineering, AI Agents, Scalable Data SystemsYour ResponsibilitiesArchitect & Build: Design and implement scalable data systems and distributed processing pipelines using PySpark and AWS.Deploy AI Solutions: Lead the engineering effort to integrate AI Agents and Machine Learning models into our core financial products.Operational Excellence: Build and maintain robust CI/CD pipelines to ensure seamless deployment and high availability of ML services.Infrastructure as Code: Utilize Terraform to manage cloud environments and ensure reproducible, scalable infrastructure.Collaborate: Work closely with Data Scientists and Product Managers to translate complex business requirements into technical reality.What We’re Looking ForExperience: 5+ years of professional software engineering experience, with a focus on data-intensive applications.Python Expert: Strong hands-on experience with Python and its ecosystem (e.g., Pandas, Scikit-learn, FastAPI).Cloud Native: Proven track record of building and deploying systems within AWS environments.Scaling Pro: Deep understanding of distributed computing (Spark/PySpark) and handling large-scale datasets.Bonus Points: * Direct experience with Databricks.A background in Financial Services is a significant plus.Understanding of AI Agent orchestration and LLM integration.","company":"Mm Management Consultant","rawCompany":"mm management consultant","city":"Columbus","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-04-12T19:55:02.908Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"We are looking for a seasoned Python Developer (AI/ML) to join our team and help build the future of intelligent financial systems. If you are passionate about building scalable data architectures and deploying sophisticated AI Agents that solve real-world problems, we want to talk to you.In this role, you will bridge the gap between high-level AI research and robust, production-grade engineering. You’ll be responsible for designing and maintaining the pipelines that power our AI/ML initiatives, ensuring they are scalable, secure, and highly performant.The Tech StackCore: Python, PySpark/Spark, AWS (S3, EMR, Lambda, SageMaker)The \"Plus\" List: Databricks, Terraform (IaC)Focus Areas: AI/ML Engineering, AI Agents, Scalable Data SystemsYour ResponsibilitiesArchitect & Build: Design and implement scalable data systems and distributed processing pipelines using PySpark and AWS.Deploy AI Solutions: Lead the engineering effort to integrate AI Agents and Machine Learning models into our core financial products.Operational Excellence: Build and maintain robust CI/CD pipelines to ensure seamless deployment and high availability of ML services.Infrastructure as Code: Utilize Terraform to manage cloud environments and ensure reproducible, scalable infrastructure.Collaborate: Work closely with Data Scientists and Product Managers to translate complex business requirements into technical reality.What We’re Looking ForExperience: 5+ years of professional software engineering experience, with a focus on data-intensive applications.Python Expert: Strong hands-on experience with Python and its ecosystem (e.g., Pandas, Scikit-learn, FastAPI).Cloud Native: Proven track record of building and deploying systems within AWS environments.Scaling Pro: Deep understanding of distributed computing (Spark/PySpark) and handling large-scale datasets.Bonus Points: * Direct experience with Databricks.A background in Financial Services is a significant plus.Understanding of AI Agent orchestration and LLM integration.","datePosted":"2026-04-12T19:55:02.908Z","dateModified":"2026-04-12T19:55:02.908Z","hiringOrganization":{"@type":"Organization","name":"Mm Management Consultant","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bfa3fc3e387a5f9f431d51a"},"url":"https://jobsearcher.com/jobs/4bfa3fc3e387a5f9f431d51a"}}