Python AI/ML Data Engineer 1015
Design, develop, and maintain scalable data pipelines and processing solutions using Python. Develop and deploy Machine Learning and AI models to support enterprise analytics and business initiatives.
Design, develop, and maintain scalable data pipelines and processing solutions using Python. Develop and deploy Machine Learning and AI models to support enterprise analytics and business initiatives.
Design, develop, and maintain Java-based applications while integrating REST APIs and backend services. Collaborate with cross-functional teams to troubleshoot issues and ensure code quality through testing and reviews.
Build and enhance highly scalable backend applications while developing secure RESTful APIs and microservices. Collaborate with cross-functional teams to design, test, and deploy production-ready enterprise solutions.
Design, develop, and maintain scalable Java applications using Spring Boot and Microservices architecture. Collaborate with cross-functional teams to optimize performance and contribute to CI/CD and application modernization initiatives.
Design, develop, and maintain scalable AI-powered applications while integrating AI/ML solutions into real-world software. Collaborate with engineering teams to optimize application performance and stay current with emerging AI trends.
Design, develop, and maintain scalable Java-based backend services and RESTful APIs. Collaborate with cross-functional teams including QA, DevOps, and architects to ensure high-quality deployments.
Develop and implement AI/ML solutions, including Generative AI and LLM-powered applications for business use cases. Collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models and pipelines.
Develop and maintain scalable Java applications and backend services while building RESTful APIs and microservices. Collaborate with cross-functional teams in an Agile environment to perform code reviews, testing, and production support.
The developer will design, develop, and maintain scalable web applications across both frontend and backend stacks. They will also collaborate with cross-functional teams to integrate APIs and optimize application performance.
Design, develop, test, and deploy scalable Salesforce applications including Apex classes, triggers, and LWC components. Collaborate with cross-functional teams to build integrations and provide ongoing production support.
Design, develop, and maintain scalable .NET applications and microservices within the banking domain. Collaborate with cross-functional teams to optimize database solutions and support production environments.
Develop and integrate Generative AI and Machine Learning solutions using Python and Large Language Models. Collaborate with technical teams to build scalable AI-powered applications, APIs, and data pipelines.
Develop and maintain scalable full-stack enterprise applications using Java and modern front-end technologies. Collaborate with cross-functional teams to build microservices, RESTful APIs, and responsive web interfaces.