Top Tech Jobs & Startup Jobs

Lead end-to-end AI Data Assurance and Quality Engineering programs, managing scope, timelines, budgets, risks, resources, governance, testing frameworks, quality metrics, and release readiness. Collaborate with business, data engineering, architecture, and AI/ML teams while mentoring quality and assurance teams. Drive automation, AI-assisted testing, workforce planning, client pursuits, solutioning, capability development, innovation, and practice growth.

Lead Oracle Fusion and EBS Financials implementations as a subject matter expert. Gather requirements, conduct gap analysis, design and configure SLA accounting rules, support payments, multi-ledger and multi-currency processes, reconcile subledgers with the General Ledger, and produce BR100 and FDD documentation. Collaborate with business and technical stakeholders across Agile or Waterfall delivery models.

Develop scalable enterprise applications with Java, Spring Boot, microservices, REST APIs, Kafka, NoSQL databases, and React/Redux. Design backend services, build responsive frontends, troubleshoot and optimize performance, and collaborate with cross-functional teams to deliver high-quality solutions following coding, testing, and deployment best practices.

Design and manage machine learning model lifecycles, including deployment, monitoring, and production operations. Build machine learning CI/CD pipelines using Python, Docker, Kubernetes, MLflow or Kubeflow, and cloud platforms such as AWS, Azure, or GCP. Apply Git-based version control and potentially Terraform for infrastructure as code across AI/ML projects.

Develop full-stack AI and Generative AI applications using ReactJS, Python, FastAPI, REST APIs, LLMs, RAG, and Agentic AI. The role requires integrating frontend and backend systems, building AI-powered solutions, managing code with Git/GitHub, and working in a hybrid environment across Bangalore, Hyderabad, Pune, or Chennai.

Develop and implement Generative AI and LLM solutions using Python, prompt engineering, RAG, LangChain or LlamaIndex, AI/ML frameworks, API integrations, and cloud platforms including AWS, Azure, and GCP. The role supports multiple AI projects across India and prefers immediate joiners.

Develop enterprise AI solutions, agentic and multi-agent systems, and GenAI/LLM applications. Responsibilities include fine-tuning Transformer models, prompt engineering, model optimization, API development with Python, Flask, and FastAPI, and deployment using Docker and Kubernetes. The role also covers MLOps, CI/CD, database integration, Python memory profiling, and OpenAI GPT integrations for document processing.

Administer and implement Informatica MDM Hub and Product 360 environments, including installation, configuration, migration, database schema setup, and deployment. Manage JBoss EAP, ActiveMQ, ActiveVOS, Elasticsearch, and related middleware. Troubleshoot application, middleware, and database issues while collaborating with project teams to establish and maintain new environments.

Entry-level QA trainee responsible for creating and executing test cases, performing functional, regression, smoke, sanity, and integration testing, documenting defects, retesting fixes, and validating applications across browsers and devices. The role involves collaboration with developers and analysts, test documentation, and learning API, database, and automation testing using modern QA tools.

Lead enterprise cybersecurity initiatives, including security architecture, infrastructure and cloud security, IAM, governance, cyber risk management, threat detection, incident response, and vulnerability management. The role requires 10–12 years of overall experience, at least six years in cybersecurity, and involves on-site work in Mumbai under a long-term engagement.