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Leads AI/ML projects from ideation to production, specializing in LLM/Agentic AI development, cloud-based model deployment, and MLOps best practices for fintech applications.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
Leads governance, risk, and compliance (GRC) engineering initiatives, designing frameworks and mitigating risks while integrating compliance into software development lifecycle; works with Node.js, React.js, and PostgreSQL.
Azure DevOps Engineer responsible for designing CI/CD pipelines, implementing infrastructure as code (ARM, Bicep, Terraform), and managing Azure cloud services (AKS, App Services, Functions) for a banking/finance project.
Build and maintain data pipelines using Python, SQL, Spark, and Kafka, integrating cloud services like Azure and GCP to enable scalable data processing and analytics.
Data Analyst focused on business requirement gathering and data mapping using Teradata FSLDM, translating banking/financial services requirements into source-to-target mappings and analytics-ready datasets with SQL and ETL teams.
Full Stack Engineer leading architecture, system design, and technical strategy for scalable systems using Node.js, Express.js, MongoDB, SQL, HTML, CSS, and JavaScript.
Senior AI Engineer building conversational AI systems, chatbots, and LLM applications using Python, LangChain/LangGraph/LlamaIndex, and cloud platforms like AWS and Azure.
Supports global pharmaceutical clients with data-driven decision-making, leading cross-functional projects to deliver analytical solutions and strategic recommendations in sales, marketing, and operations.
Java Backend Developer designing and maintaining scalable microservices-based applications using Java 8+, Spring Boot, and messaging systems like Kafka/RabbitMQ.
GCP Data Engineer building scalable, cloud-native data pipelines using Google Cloud services (especially Dataflow) and containerized deployments with Docker and Kubernetes.
Build and maintain automated test frameworks for healthcare imaging systems, validating data workflows and integrations using C# and Selenium.
Full Stack Engineer building scalable cloud-native applications on GCP using C#/.NET, Docker, Kubernetes, Spanner, and Bigtable.
Lead the architecture, design, and implementation of scalable Azure cloud solutions, mentoring technical teams and driving cloud strategy across IaaS, PaaS, and SaaS using core Azure services and Infrastructure as Code.
Build near real-time healthcare data pipelines into Snowflake (Epic/FHIR/HL7), author stored procedures and notebooks, feed Snowflake Cortex LLM models, and migrate components from Databricks.
About Role We're looking for a hands-on integration builder, not a configurator, with 8+ years of Oracle Cloud HCM integration experience. This person will design, develop, and deploy inbound/outbound integrations…
DevOps Engineer managing Azure cloud infrastructure via Terraform, building CI/CD pipelines with Harness/GitLab CI/Jenkins, and providing production and non-production support using Splunk for monitoring.
Modernize legacy low-code apps into scalable web apps using React/Angular/Vue and Node.js/Python/.NET, integrating with cloud data stores like Snowflake and Azure Synapse.
Role Summary Job Description: We are seeking a highly skilled SQA Automation Engineer to support the testing of Ethos Design System (EDS) components. The ideal candidate will have hands-on experience with modern UI…
Builds and deploys AI/ML models and LLM applications, focusing on prompt optimization, sandbox experimentation, and cloud-based pipelines for a core-AI product company.
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