9 Armbicep Jobs

As an ML Platform Specialist, your role involves designing, implementing, and maintaining robust machine learning infrastructure and workflows using Databricks Lakehouse Platform. Your responsibilities include: - Designing and implementing scalable ML infrastructure on Databricks Lakehouse Platform - Developing and maintaining CI/CD pipelines for machine learning models using Databricks workflows - Creating automated testing and validation processes with Databricks MLflow - Implementing and managing model monitoring systems using Databricks Model Registry and monitoring tools - Collaborating with data scientists, software engineers, and product teams to optimize machine learning workflows - ...

As a Cloud Migration Auditor - Manager, your role involves leading independent technical and process audits of Azure cloud migration programs. This includes reviewing cloud architecture against the Azure Well-Architected Framework, assessing infrastructure-as-code, CI/CD pipelines, and automation practices. You will also evaluate security configurations, identity & access controls, and policy compliance while identifying gaps in reliability, disaster recovery, and backup strategies. Conducting cost optimization assessments and providing actionable recommendations will be part of your responsibilities. Additionally, you will create audit reports with risk ratings, remediation plans, and archi...

As an ML Platform Specialist, you will play a crucial role in designing, implementing, and maintaining robust machine learning infrastructure and workflows on the Databricks Lakehouse Platform. Your primary responsibilities will include: - Designing and implementing scalable ML infrastructure on the Databricks Lakehouse Platform - Developing and maintaining CI/CD pipelines for machine learning models using Databricks workflows - Creating automated testing and validation processes with Databricks MLflow - Implementing and managing model monitoring systems using Databricks Model Registry and monitoring tools - Collaborating with data scientists, software engineers, and product teams to optimiz...

As an experienced Data Engineer, your role will involve designing, implementing, and optimizing a global data handling and synchronization solution across multiple regions. You will work with cloud-based databases, data lakes, and distributed systems, ensuring compliance with data residency and privacy requirements such as GDPR. Key Responsibilities: - Design and implement data pipelines for global and regional data synchronization using Azure SQL, Data Lake, Data Factory, PySpark, etc. - Develop solutions for secure handling of PII and non-PII data, ensuring compliance with GDPR and other regulations. - Build and optimize ETL processes for anonymization, transformation, global synchronizati...

You are a Lead Data Engineer responsible for architecting and guiding the design and implementation of a global data handling and synchronization platform. In this role, you will provide technical leadership to a small team of data engineers and advise on master data management (MDM) best practices to ensure compliance with global data residency and privacy requirements like GDPR. **Key Responsibilities:** - Lead the design and implementation of data pipelines for global and regional data synchronization using Azure SQL, Data Lake, Data Factory, PySpark, etc. - Define the data architecture and drive MDM strategies to maintain consistent, high-quality data across regions. - Develop and enforc...

As an Azure .NET Developer at our company, you will be responsible for designing, developing, and deploying secure and scalable .NET Core services on Azure App Service, Functions, and Kubernetes. Your key responsibilities will include: - Building RESTful APIs, microservices, and event-driven workflows integrating Cosmos DB, SQL, Service Bus, and storage queues. - Writing clean, unit-tested C# code, enforcing coding standards, performing code reviews, and optimizing performance. - Automating build, test, and release pipelines with Azure DevOps and implementing Infrastructure as Code (IaC) using ARM/Bicep or Terraform. - Monitoring production workloads with Application Insights, diagnosing iss...

Role Overview: Radius Intelligent Automation and Intuita are establishing an Offshore Delivery Centre (ODC) in Bangalore, India, in partnership to lead technical engineering projects and deliver sustainable data solutions. As a Senior Data Engineer, you will play a key role in designing and leading scalable data solutions using cloud-native technologies, mentoring junior engineers, and collaborating with clients to deliver best-in-class data solutions. Your ability to work independently and collaboratively, combined with deep technical skills in data engineering, will drive the success of engagements and build trusted relationships with clients. Key Responsibilities: - Design and lead delive...

The ML Platform Specialist role involves designing, implementing, and maintaining machine learning infrastructure and workflows on the Databricks Lakehouse Platform. Your primary responsibility will be to ensure the successful deployment, monitoring, and scaling of machine learning models across the organization. You will design and implement scalable ML infrastructure on the Databricks Lakehouse Platform, develop CI/CD pipelines for machine learning models, and create automated testing and validation processes using Databricks MLflow. Additionally, you will be responsible for managing model monitoring systems, collaborating with various teams to optimize machine learning workflows, and main...

As a Technical Architect specializing in Generative AI at our Noida location, you will be responsible for leading the design and implementation of AI-driven architectures across complex enterprise systems. Your role will involve leveraging your deep coding expertise in Python, .NET Core, Angular, and Azure to modernize platforms, improve efficiency, and deliver intelligent automation through AI/ML solutions. Your key responsibilities will include designing and developing GenAI models for real-world use cases, building scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications, as well as developing AI accelerators such as agentic workflows, RAG pipelines, and LLM-int...