GenAI Engineer at NTT DATA

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

0.0

Posted On

11 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Applications, Machine Learning, Deep Learning, NLP, Generative Adversarial Networks, Python, TensorFlow, PyTorch, Keras, Data Infrastructure, Statistical Techniques, RAG Technologies, LLM Frameworks, Azure OpenAI, Google Vertex Gen AI, AWS LLM Models

Industry

IT Services and IT Consulting

Description

Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. 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. 1+ years of experience architecting high-impact GenAI solutions for diverse clients. 8+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor's Degree required. Experience with Nvidia NeMo Inference Manager (NIM) for deploying and managing AI models at scale. Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic. Maintains a flexible "can-do" attitude and a commitment to success. Professional verbal and written communication.

Responsibilities

Develop and implement GenAI solutions while collaborating with cross-functional teams to support AI projects for diverse clients. Assist in designing and implementing GenAI use cases and projects across multiple industries.