GenAI Engineer

NTT DATA; Tijuana; Híbrido; MXN 1,272,000 - 1,818,000; Jornada completa

Descripción de la vacante

A global technology services company is seeking a GenAI Engineer in Tijuana, Mexico. In this role, you will develop innovative AI solutions and work closely with cross-functional teams. Ideal candidates should have a Bachelor's degree and at least 1 year of experience in GenAI, alongside strong programming skills in Python. The position allows for flexible work arrangements while ensuring project delivery meets client needs.

Servicios

Flexible work options

Opportunity for training and development

Inclusive work environment

Formación

• 1+ years of experience architecting high-impact GenAI solutions.
• 8+ years of experience in projects related to AI/ML or predictive analytics.
• Proficient in Python with 3+ years of experience.

Responsabilidades

• Develop and implement GenAI solutions in a collaborative environment.
• Create AI/ML applications for various use cases.
• Work directly with clients to deliver tailored AI solutions.

Conocimientos

AI/ML applications

Statistical analysis

Machine Learning frameworks

Python programming

Data normalization

Client communication

Educación

Bachelor’s Degree

Herramientas

TensorFlow

PyTorch

Azure OpenAI

Google Vertex Gen AI

AWS LLM foundational models

Descripción del empleo

Req ID: 343630

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.

We are currently seeking a GenAI Engineer to join our team in Guadalajara, México (MX-MEX), Mexico (MX).

As a GenAI Engineer with NTT DATA, you will be at the front‑line 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:

• 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 the 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.

Basic Qualifications:

1+ years of experience architecting high‑impact GenAI solutions for diverse clients.

8+ years 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.

Preferred Skills:

• 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.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long‑term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R & D to help organizations and society move confidently and sustainably into the digital future.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.