Req ID: 376261
NTT DATA's Client is currently seeking a professional to join their team in Irving, Texas (US-TX), United States (US).
Job Description:- Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX, including architectures like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs).
- Design and deploy efficient, self-contained microservices using Python 3.x and modern web frameworks (FastAPI, Flask, or Django).
- Build and maintain RESTful APIs and GraphQL endpoints for seamless communication between services and front-end applications.
- Work with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Implement database-per-service patterns and ensure data consistency.
- Implement message queues and event-driven architecture using Kafka, RabbitMQ, or Celery.
- Containerize microservices using Docker and orchestrate them utilizing Kubernetes.
- Write comprehensive unit and integration tests. Configure logging and monitoring tools (Prometheus, Grafana, ELK stack) to track service health.
- Select appropriate datasets and data representation methods.
- Extend existing machine learning libraries and frameworks.
- Train systems and retrain as necessary.
Skills Required:- Overall 5 years of experience.
- 3 years of professional software engineering experience, with a heavy focus on Python-based microservices architecture.
- 2 years of hands-on experience with asynchronous Python frameworks like FastAPI or aiohttp.
- Strong proficiency in SQL/NoSQL integration, including ORMs like SQLAlchemy.
- Familiarity with cloud environments (AWS, Azure, or GCP) and infrastructure-as-code principles.
- Solid understanding of distributed system design patterns (e.g., CQRS, Event Sourcing, Circuit Breakers).
- Experience with Chat, IVR, Banking will be a plus.
- Google Cloud (GCP) knowledge.
