Developer / Engineer

Overview

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 will collaborate with cross-functional teams to advance the AI strategy and deliver business-aligned ML applications. You’ll work with leading frameworks and cloud platforms to deploy scalable AI solutions and continuously refine models through testing and data-driven insights. This role offers exposure to cutting-edge Gen AI work within a global technology services leader.

Pay / Benefits

• remote or hybrid work options
• global leader in AI and digital infrastructure
• opportunity to work on enterprise-scale AI
• inclusive and forward-thinking culture

Responsibilities

• Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX (GANs, VAEs, LLMs)
• Research and implement machine learning algorithms and tools
• Integrate generative AI models into production systems and applications (APIs, microservices, cloud platforms)
• Manage and direct R&D processes to align with AI strategy
• Develop ML applications aligned with project requirements and business goals
• Perform ML tests and statistical analysis to fine-tune systems
• Select appropriate datasets and data representation methods
• Extend existing ML libraries and frameworks
• Train and retrain systems as needed
• Collaborate with engineering and leadership on design, prototyping, testing, and training of AI/ML solutions

Key requirements

• 8+ years of overall experience
• 5+ years Python coding experience with libraries (NumPy, Pandas)
• 3 years understanding of generative AI models (GANs, VAEs, LLMs)
• Strong experience in Neo4J and MongoDB
• Experience with Python web frameworks (FastAPI, Flask, Django)
• Experience in working in a scrum environment
• Strong communication skills
• Understanding and experience with 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 skills
• Team collaboration
• Adaptability
• Python (5+ years)
• NumPy, Pandas
• GANs, VAEs, LLMs

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