Top Tech Jobs & Startup Jobs

Design, develop, and deploy machine learning and deep learning models; build end-to-end ML pipelines including preprocessing, training, evaluation, and deployment; perform feature engineering on large datasets; deploy and monitor models on cloud platforms; collaborate with cross-functional teams to integrate AI solutions and retrain models as needed.

Lead design and delivery of enterprise Pega BPM/Case Management solutions for financial services. Implement Pega Infinity (24.x+), Constellation/Cosmos, perform upgrades, integrate with RDBMS/Oracle and AWS/Pega Cloud, and support deployment, decisioning, connectors, and frontend scripting. Collaborate with stakeholders in Agile delivery.

Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.

Design, develop, and maintain automated test frameworks for front-end and web services. Integrate tests into CI/CD, write unit/component/integration/performance tests, debug front-end and APIs, collaborate with Agile teams, and drive testability, code quality, and release reliability.

Lead design and delivery of enterprise Pega BPM/case management solutions for financial services. Architect on Pega Infinity/8.x, Constellation/Cosmos, integrate with RDBMS/Oracle, AWS/Pega Cloud, implement connectors, decisioning, BIX, schedulers, and support deployments (containers optional). Provide technical leadership, stakeholder engagement, and work within Agile delivery.

Design, build, and deploy production-ready generative AI applications: architect multi-agent workflows, implement advanced RAG with vector DBs, integrate/swap LLMs, fine-tune models, and deliver scalable FastAPI-based services with monitoring, CI/CD, and containerized deployment.

Lead testing strategy and automation for enterprise web applications and APIs. Build and maintain Java-based Selenium/Serenity automation, design reusable test artifacts, participate in Agile ceremonies, log and track defects, verify production releases, and promote a quality-first mindset across teams.

Lead design and implementation of scalable Selenium-based automation and BDD (Cucumber/Gherkin) frameworks. Drive automation strategy, integrate suites into CI/CD, execute functional/regression/integration/end-to-end and API testing, analyze failures, set quality standards, and mentor junior QA engineers.

Lead modernization of the Salesforce ecosystem by optimizing development practices, reducing technical debt, improving performance and integrations, implementing best practices and governance (focus on Service Cloud), driving version control adoption, and providing technical leadership and training to create scalable, cost-effective solutions.

Translate ambiguous business problems into AI-native product opportunities. Develop future-state, prompt-driven experiences, hyper-personalized journeys, and strategic narratives. Lead cross-functional teams, benchmark AI product trends, and present executive-ready transformation roadmaps.