20 publicaciones de empleo destacadas de ai support engineer en apodaca, nle (¡Están contratando!)

Sr. AI Engineer
Johnson Controls —San Pedro Garza García, N. L.
- Azure
- Experiencia en bases de datos
- SQL
3d
Manager, Technical Support Engr
Vistance Networks —Apodaca, N. L.
- Administración de personal
- Informática
- Salesforce
4d
Training Program Manager, AI-First PM Training
First Principles —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida
21h
Global Staff Testing Engineer
Lenovo —Monterrey, N. L.
- Tiempo completo
- Informática
- Java
- Licenciatura
IT Interns
Corning —Obispado, N. L.
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Senior AI Engineer - Cybersecurity
Corning —Obispado, N. L.
- Azure
- Informática
- Licenciatura
Lead Data Engineer
Corning —Obispado, N. L.
- Azure
- Oracle
- Informática
Software & DevOps Engineer
Schneider Electric —Apodaca, N. L.
- Tiempo completo
- Azure
- Informática
- CAD
Customer Support Specialist
Epicor —Monterrey, N. L.
- Tiempo completo
- Servicio al cliente
- ERP systems
- Mantenimiento
Sr. AI Engineer
Corning —Obispado, N. L.
- Azure
- Informática
- Inglés
Engineering and Quality - Senior Platform Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Administración de personal
- DevOps
- Permiso de maternidad y paternidad
Packaging Engineer (Monterrey, Mexico)
Signify —Monterrey, N. L.
- Bilingüe
- AutoCAD
- CAD
Test Automation Engineer with JS/Playwright - Monterrey
Globant —Monterrey, N. L.
- Azure
- Administración de personal
- DevOps
Vice President, Production Operations (Mexico)
Fictiv —Monterrey, N. L.
- Español
- Microsoft Excel
- Administración de personal
Cloud R Analyst
Epicor —Monterrey, N. L.
- Tiempo completo
- Azure
- ERP systems
- Inglés
Engineering and Quality - Lead Data Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- DevOps
- SQL
- Permiso de maternidad y paternidad
Net Developer (Azure / AI) Monterrey
Globant —Monterrey, N. L.
- Azure
- Oracle
- DevOps
Full Stack Engineer
DataArt —Monterrey, N. L.
- Administración de personal
- Java
- Experiencia en bases de datos
Senior Full Stack Engineer
Peek —Monterrey, N. L.
- $950,000 a $1,385,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Java
- SQL
- JavaScript
ERP Expert Support
Epicor —Monterrey, N. L.
- Tiempo completo
- Servicio al cliente
- ERP systems
- Mantenimiento

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Sr. AI Engineer

Johnson Controls -
San Pedro Garza García, N. L.

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Información del empleo

Hace 3 días

Cualificaciones

TensorFlow
Azure
Derecho
PyTorch
Experiencia en bases de datos
SQL
Kernel
NLP
Liderazgo
Python

Descripción completa del empleo

Job Description

Johnson Controls International (JCI) is seeking a Senior AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, and a strong grasp of the latest advancements in Generative AI and Large Language Models (LLMs).

As a Senior AI Engineer, you will lead the development and deployment of scalable AI solutions—including those powered by LLMs—to accelerate digital transformation across our products, operations, and customer experiences. You'll play a critical role in shaping JCI’s AI engineering strategy, mentoring teams, and driving the use of AI to deliver measurable business value.

How you will do it

Advanced Analytics, LLMs & Modeling

Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude).
Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models.
Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications.
Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use.

Data Strategy & Engineering Collaboration

Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines.
Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search).
Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management.

Business Impact & AI Strategy

Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges.
Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units.
Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences.

Thought Leadership & Mentorship

Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements.
Mentor and upskill AI engineering team members in advanced AI techniques, including transformer models and generative AI frameworks.
Contribute to strategic roadmaps for generative AI and model governance within the enterprise.

Qualifications & Experience

Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline.
5+ years of hands-on experience in AI engineering, data science, or machine learning, including at least 1–2 years working with LLMs or generative AI technologies.
Demonstrated success in deploying machine learning and NLP solutions at scale.
Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.

Technical Expertise

Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), Microsoft Agent Framework, LangChain, PyTorch, and TensorFlow.
Experience with prompt engineering, fine-tuning, and LLM orchestration tools.
Familiarity with data storage, retrieval systems, and vector databases.
Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics.

Leadership & Soft Skills

Strategic thinker with a strong ability to align AI initiatives to business goals.
Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics.
Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams.

Preferred Qualifications

Experience with IoT, edge analytics, or smart building systems.
Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.
Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.

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