[Active Hring] AI Engineer - Kore.ai Developer
Company Overview: Req ID: 338858 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. NTT DATA's Client is currently seeking a AI Engineer - Kore.ai Developer to join their team in Irving, Texas (US-TX), United States (US). Job Description: Job Duties: NTT DATA is seeking a highly skilled AI Engineer - Kore.ai platform and Java with over 5+ years of experience to join our team to help a strategic banking client in various AI development activities. As an AI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries. Key Responsibilities: This role requires a dual set of skillsets, including proficiency in both Python and Java with hands-on applied AI experience: AI / ML Engineering:
- Proficient in both Python and Java.
- Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, robotics, and content intelligence.
- Apply statistical skills and advanced statistical techniques and concepts.
- 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).
- Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.
- Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.
- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
- Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.
- 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.
- Familiarity with frontend UI frameworks, ability to build UIs with JavaScript/React.
- Knowledge of RESTFul APIs / GraphQL to employ APIs for application integration.
- Ability to configure and extend connectors/webhooks.
- Workflow design experience.
- Cloud basics: AWS, Azure, GCP. Familiarity with serverless functions (Lambda, Azure Functions).
- Understanding of containerization (Docker/Kubernetes).
- Familiarity with CI/CD pipelines to deploy and update applications reliably.
- Experience in handling PII data and data security.
- Understanding logging, monitoring and observability.
- Develop, test, and maintain software applications and systems
- Write clean, efficient code using Java and Spring boot, Microservice
- Collaborating with QA Analysts and Software Developers to develop solutions
- Work along with a larger scrum team to deliver assigned stories
- Develop and document the framework for integration and implementation for changes to technical st
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