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Tier-1 brand, mid-level generalist title, metro location, and broad requirements increase applicant competition.
Fullstack Java/Angular skills are transferable, but AI/ML and MLOps emphasis increases domain specificity.
Explicit 6+ years and many mandatory technical and AI/ML integration skills make filters strict.
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Develop and maintain full stack web applications using Java, Spring Boot, and Angular with AI/ML integration.
Design, implement, and operationalize AI/ML models and services within applications, including predictive analytics and intelligent automation.
Manage scalable RESTful APIs, work with MongoDB for data management, and utilize cloud technologies like Docker, Kubernetes, and CI/CD pipelines for deployment.
4-8 years of experience as a Full Stack Developer with AI/ML integration experience or strong interest.
Bachelor’s degree in Computer Science, Engineering, or related field.
Proficiency in Java, Spring Boot, Angular, MongoDB, RESTful APIs, cloud technologies (Docker, Kubernetes), and CI/CD tools.
Familiarity with AI/ML concepts and data processing for AI/ML workloads.
Experienced in integrating AI/ML models into production systems using frameworks like TensorFlow, PyTorch, or Java-based AI libraries.
Knowledgeable in cloud AI/ML platforms (AWS Sagemaker, Google AI Platform, Azure ML) and MLOps principles.
Comfortable collaborating with data scientists and product teams to productionize AI capabilities and deliver intelligent application features.