NTT DATA is seeking an AI Engineer - Kore.ai Developer to help a strategic banking client in various AI development activities, focusing on designing and implementing cutting-edge AI solutions to drive business intelligence and decision-making.
Requirements
- Proficient in both Python and Java.
- Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras.
- Display proficiency with Python packages such as Pandas, Numpy and Scikit-Learn, and spaCy.
- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
- Deep knowledge ML models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
- Experience working with LLM frameworks, LLM model registries (Hugging Face), LLM APIs and embedding models.
- Experience with vector databases and NLP retrieval methods (RAG technologies, semantic similarity).
Responsibilities
- Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, robotics, and content intelligence.
- Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras.
- Display proficiency with Python packages such as Pandas, Numpy and Scikit-Learn, and spaCy.
- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
- Deep knowledge ML models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
- Experience working with LLM frameworks, LLM model registries (Hugging Face), LLM APIs and embedding models.
- Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.
Other
- 5+ years of experience
- Work closely with customers to understand their requirements and deliver customized AI solutions.
- Interact at appropriate levels to ensure client satisfaction and project success.
- Communicate complex technical concepts clearly to non-technical audiences.
- Conduct training sessions to enhance overall data science skills within the organization.
