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Tier-1 brand, mid-level fullstack title, metro location, and broad stack requirements increase applicant competition.
Core Java/Angular fullstack skills transfer well, but AI/ML integration and banking context raise domain specificity.
Explicit 6+ years plus mandatory Java/Angular/AI, Docker/Kubernetes and CI/CD requirements enforce strict filters.
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Develop and maintain web applications using Java, Spring Boot, and Angular, focusing on performance and scalability.
Design, implement, and integrate AI/ML models and AI-powered features such as predictive analytics and recommendation systems into full-stack applications.
Collaborate with data scientists and product teams to productionize AI/ML capabilities and manage deployment using cloud technologies including Docker, Kubernetes, and CI/CD pipelines.
Bachelor’s degree in Computer Science, Engineering, or related field.
4-8 years of experience as a Full Stack Developer with demonstrable experience or strong interest in AI/ML integration.
Proficiency in Java, Spring Boot, Angular, MongoDB, RESTful APIs, Docker, Kubernetes, and CI/CD tools.
Familiarity with AI/ML concepts and practical application, including data processing and feature engineering for AI/ML workloads.
Experienced in integrating AI/ML models into production systems, preferably using frameworks like TensorFlow, PyTorch, or Java AI libraries.
Skilled in cloud AI/ML platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) and knowledgeable about MLOps principles for AI model deployment and monitoring.
Strong background working cross-functionally with data scientists and engineering teams on AI/ML-driven full-stack applications and operating in containerized cloud environments.