20 publicaciones de empleo destacadas de devops engineer, sr with azure en monterrey, nle (¡Están contratando!)

Sr. AI Engineer
Johnson Controls —San Pedro Garza García, N. L.
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Sr Developer - Enterprise Integration
Johnson Controls —Apodaca, N. L.
- Tiempo completo
- Azure
- Administración de personal
- DevOps
TechOps Engineer
Siemens —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- CAD
1d
Sr Network Designer
CPKC —Monterrey, N. L.
- Incluye fines de semana
- Azure
- Administración de personal
- Informática
1d
Application Support Engineer Specialist
Accenture —Monterrey, N. L.
- Incluye fines de semana
- Oracle
- DevOps
- Inglés
Sr. Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
- DevOps
- Inglés
Test Automation Engineer with JS/Playwright - Monterrey
Globant —Monterrey, N. L.
- Azure
- Administración de personal
- DevOps
Senior AI Engineer - Cybersecurity
Corning —Obispado, N. L.
- Azure
- Informática
- Licenciatura
Associate Forward Deployed Engineer
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Microsoft Excel
- Azure
- Informática
Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
- DevOps
- Inglés
Lead AI Engineer
Corning —Obispado, N. L.
- Azure
- Informática
- Inglés
Data App Engineer-ID 10048
Getecsa —Monterrey, N. L.
- Azure
- DevOps
- Inglés
Net Developer (Azure / AI) Monterrey
Globant —Monterrey, N. L.
- Azure
- Oracle
- DevOps
Senior HashiCorp Vault Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
SR .NET Developer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
Senior HashiCorp Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
Full Stack Software Engineer (Backend)
MSIGHTS —San Pedro Garza García, N. L.
- Tiempo completo
- Informática
- DevOps
- Inglés
Postulación rápida
Support Engineer 2
Blue Yonder —Monterrey, N. L.
- Tiempo completo
- Oracle
- Administración de personal
- DevOps
Copado DevOps engineering
Accenture —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Engineer Integration - MuleSoft - Remoto
NORTHWARE SA DE CV —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- Informática
- Salesforce
- Seguro de vida
Postulación rápida
5d

Quiero recibir la alerta de empleo más reciente para devops engineer, sr with azure en monterrey, nle

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Sr. AI Engineer

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

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Información del empleo

Tiempo completo

Cualificaciones

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

Descripción completa del empleo

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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devops engineer, sr with azure empleos en monterrey, nle

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Copado DevOps engineering

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Quiero recibir la alerta de empleo más reciente para devops engineer, sr with azure en monterrey, nle

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