51 Ofertas de Neural Networks en Mexico

Technical Requirements:

· 5+ years of experience writing and deploying production quality data science models in languages such as Python, including 2+ years of experience in building Generative AI applications.

· Hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar

· In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures

· Knowledge of end-to-end applications development (including front-end user interface and back-end development) for implementing Generative AI applications (hands-on experience in Full Stack Applications development preferred).

· Strong innovator who understands the nuances of large language models and in-depth hands-on experience working with LLMs like Claude 3 Sonnet, GPT, LLAMA, Transformer-based architectures or other (Generative Pre-trained Transformer) variants

· Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings

· Strong experience in model fine tuning and performance evaluation

· Experience in developing Gen AI applications using LangChain or LlamaIndex Library

· Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers

· Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research

· Experience in Python and SQL

Preferred Requirements:

· Experience with distributed training and optimization techniques for large-scale machine learning models

· Familiarity with responsible AI frameworks and guidelines.

· Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research.

About KPMG Technology Services Americas

We are a Service Delivery Center of KPMG US, with offices in Mexico City and Guadalajara. We deliver high-value technology, consulting, and corporate support services to KPMG US and its clients.

Our Employer Value Proposition is clear: Explore.

Explore isn't just a word — it's how we grow, lead, and thrive. It's the mindset that drives our culture and shapes every opportunity:

• Experience a collaborative, inclusive, and multicultural workplace where you belong.
• Excel by creating impact and leaving your mark on global projects.
• Expand your potential with real career paths, learning programs, and mentorship.
• Express your individuality — come as you are, and thrive as your authentic self.

And because we know that thriving at work also means thriving in life, we back this mindset with a total rewards program designed to support your well-being, goals, and personal milestones.

We seek an experienced professional to contribute to the development and refinement of AI security controls across various deployment models (MaaS, IaaS, SaaS) and model types (foundation, open-source, self-trained).

• Conduct technical research on emerging AI threats and propose mitigations aligned with firmwide security objectives.
• Build and test proofs-of-concept to validate the effectiveness of proposed AI security controls.
• Collaborate with cross-functional teams to integrate security controls into existing workflows and pipelines.
• Assist in documenting security requirements and disseminating them to internal security teams and other stakeholders.
• Support continuous monitoring and assessment efforts to evaluate the efficacy of implemented controls and recommend improvements.

The ideal candidate will have a bachelor's degree in Computer Science, Cybersecurity, or a related field; or equivalent practical experience.

• 3+ years of experience in cybersecurity, with exposure to AI/ML systems or emerging technologies.
• Familiarity with AI system architectures and deployment models, including cloud-based and self-hosted environments.
• Working knowledge of security principles such as threat modeling, access control, and data protection.
• Experience with scripting or automation tools (e.g., Python, Bash) for security testing or control implementation.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

We offer a range of benefits, including extended maternity, paternity, and adoption leaves, above-market vacation benefits, hybrid work model, learning opportunities, training, and certification programs, extended marriage leave and daycare support, wellness and Employee Assistance Programs (EAP), comprehensive medical plan, life insurance, car insurance, and funeral assistance.

We celebrate and support everyone's individuality and do not discriminate against any race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, or disability. We are supportive of helping you to achieve a balance between your home and work demands.

We are seeking an exceptional AI expert to lead our generative applications team. As a key member of our organization, you will be responsible for developing and deploying cutting-edge AI models that drive business growth and innovation.

Key Responsibilities:

• Design and implement AI models for generative applications using Python and relevant libraries such as TensorFlow, Keras, or Caffe.
• Develop and maintain large-scale machine learning models with expertise in deep learning networks and NLP techniques.
• Fine-tune and evaluate model performance, ensuring high accuracy and efficiency.
• Collaborate with cross-functional teams to integrate AI solutions into our products and services.
• Stay up-to-date with the latest advancements in AI research and technologies, applying this knowledge to drive innovation and improvement.

Requirements:

• 5+ years of experience in data science and AI development, including 2+ years in building generative AI applications.
• Hands-on experience with TensorFlow, Keras, Caffe, or similar frameworks, and proficiency in Python programming.
• In-depth knowledge of NLP techniques, including tokenization, language modeling, and embeddings.
• Strong innovator with expertise in Large Language Models (LLMs) and Transformer architectures.
• Experience in model fine-tuning and performance evaluation, with a focus on achieving high accuracy and efficiency.
• Familiarity with vector search algorithms, LLM embedding layers, and database management systems like Pinecone or Weaviate DB.

Benefits:

• Opportunity to work on cutting-edge AI projects that drive business growth and innovation.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Ongoing training and professional development opportunities to stay up-to-date with the latest AI advancements.

Preferred Requirements:

• Experience with distributed training and optimization techniques for large-scale machine learning models.
• Familiarity with responsible AI frameworks and guidelines.

This is an exciting opportunity for an AI expert to join our team and contribute to shaping the future of our organization. If you are passionate about AI and have a strong track record of delivering innovative solutions, we encourage you to apply.