Developer / Engineer
NTT DATA
As a Python Gen AI Developer at NTT DATA in London, you will design and optimize generative AI models and integrate them into production systems. You’ll work with GANs, VAEs, and LLMs, collaborating with cross-functional teams to align ML solutions with business goals. You’ll advance AI strategy through R&D, model training, and cloud-based deployment, driving practical applications across platforms. This role offers exposure to cutting-edge AI while supporting responsible innovation in a global tech environment.
Pay / Benefits- remote or hybrid work options
- flexible work arrangements
- global collaboration
- opportunity to work with AI/ML at scale
- career growth in AI
- access to innovation centers
- Design and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX
- Research and implement machine learning algorithms and tools
- Integrate AI models into production via APIs, microservices, and cloud platforms (AWS, Azure, GCP)
- Manage and direct R&D processes to meet AI strategy needs
- Develop ML applications aligned with project requirements and business goals
- Perform ML tests and statistical analysis to fine-tune systems
- Select datasets and representation methods
- Extend existing ML libraries and frameworks
- Train and retrain systems
- Collaborate with engineering and leadership on design, prototyping, testing, and training of AI/ML solutions
- 8+ years overall experience
- 5+ years Python coding experience with libraries (NumPy, Pandas)
- 3 years understanding of GANs, VAEs, LLMs
- Strong experience with Neo4J and MongoDB
- Experience with Python web frameworks (FastAPI, Flask, Django)
- Experience in SCRUM and related ceremonies
- Strong communication skills
- Understanding/experience in Gen AI implementations
- Experience with LangChain, Vector DB, Embeddings or related frameworks
- Experience with AI/ML model implementations using scikit-learn, TensorFlow, etc.
- Experience with Chat, IVR, Banking is a plus
- Google Cloud (GCP) knowledge
- strong communication
- team collaboration
- problem-solving
- Neo4J
- MongoDB
- LangChain
Reference: WJ-747_30167425