Free Health Management Services Upto ₹31,000/Year **. BajajAllianzLifeInsuranceCo. Ltd., one of India’s leading privatelifeinsurers, is a joint venture between Bajaj Finserv Limited, one of the most diversified non-banking financial institutions in India, andAllianzSE, one of world’s leading global insurer and asset manager.
Degree in Computer Science or related field
4 to 7 years of working experience as a software developer in AI-focused cloud/container application development.
A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles
Sound experience in cloud native development
Strong coding development and debugging skills, including hands-on experience with Java, JavaScript, GoLang and Python.
Hands-on experience in developing REST APIs using frameworks such as Flask, FastAPI etc.
Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy
Knowledge of prompt engineering, fine-tuning, and embeddings for AI applications.
Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker.
Prior experience deploying AI-driven applications in production environments.
Experience working with message queues such as Kafka and a clear understanding of pub-sub systems is bonus
Key Responsibilities
Generative AI Development
- Research, fine-tune, and deploy generative AI & LLM models for specific use cases.
- Design and implement solutions for text generation, image synthesis, conversational AI, and more.
- Optimize AI models for performance, scalability, and real-time applications.
- Build robust APIs and microservices to integrate AI models into web and mobile applications.
- Develop efficient data pipelines for model training and inference.
- Ensure backend systems are secure, scalable, and capable of handling AI workloads.
Frontend Development
- Create intuitive user interfaces for applications powered by generative AI/ AI
- Collaborate with designers to bring AI-driven user experiences to life using frameworks like React, Angular, or Vue.
- Implement dynamic visualizations or outputs generated by AI models.
- Deploy AI models and full-stack applications on cloud platforms (AWS, Azure).
- Implement MLOps practices for model lifecycle management, monitoring, and retraining.
- Use containerization and orchestration tools (Docker, Kubernetes) to ensure scalability and reliability.
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