Top Tech Jobs & Startup Jobs

The Senior Business Analyst will design user experiences for virtual agents, gather customer requirements, create conversation flows, and act as a liaison between stakeholders and development teams in Conversational AI projects.

Design, develop, and maintain ETL/data pipelines using SSIS; manage and optimize MySQL databases and SQL queries; build and deploy SSRS reports; lead data warehousing and integration efforts; troubleshoot data engineering issues and collaborate with stakeholders.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

The Senior Business Analyst will analyze and solve complex problems in the Insurance industry, lead project teams, gather requirements, and develop innovative solutions using advanced analytics and machine learning.

The Senior Sales Engineer will develop GTM strategies, drive market expansion and revenue growth in the BFSI sector by engaging clients and managing key accounts.

Design, modernize, and deliver enterprise Java/Spring Boot applications on AWS. Lead API and microservices development, cloud deployments, testing, and client-facing architecture discussions while mentoring teams and ensuring application security and scalability.

Design, develop, modernize, and support enterprise Java applications using Spring Boot and AWS. Implement microservices, REST/SOAP APIs, perform unit/integration testing, deploy to cloud, troubleshoot production issues, mentor team members, and collaborate with clients to meet technical requirements and ensure solution quality.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

Design and deliver end-to-end GenAI and ML solutions on AWS: build SageMaker pipelines, fine-tune LLMs (Llama2), implement RAG with vector stores (OpenSearch/Elasticsearch), develop LangChain-based LLM apps, perform prompt engineering, model evaluation and optimization, and collaborate with cross-functional teams to integrate models into production.