Lead AI/ML Engineer – R01565293
Brillio —Guadalajara, Jal.
- Azure
- Administración de personal
- Experiencia en bases de datos
13d
DevOps Sr Analyst
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- DevOps
- Linux
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
13d
Oracle DBA
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Trabajo híbrido
- Oracle
- Administración de personal
- Informática
11d
Infrastructure Support Specialist
Workana —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
Postulación rápida
Level 3:IT Support Specialist & Client Support
Teamswell —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Administración de personal
- Liderazgo
Postulación rápida

More jobs to discover

Find similar jobs that you might be interested in.

DevOps Sr Analyst
Accenture —Monterrey, N. L.
Design, implement, and manage cloud-based infrastructure and DevOps pipelines. Drive Infrastructure-as-Code (IaC) practices using tools like Terraform.
Sr QA Engineer
Ria Money Transfer (Dandelion) —Querétaro, Qro.
Minimum of 3 to 5 years of experience in field. The Senior QA Analyst reports directly to the Software Development Manager and will work closely with the QA…
Postulación rápida

Quiero recibir la alerta de empleo más reciente para infrastructure monitoring specialist

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Lead AI/ML Engineer – R01565293

Brillio -
Guadalajara, Jal.

Postúlate ahora

Información del empleo

Hace 13 días

Cualificaciones

TensorFlow
Azure
Administración de personal
Derecho
Ingeniería de software
Kubernetes
PyTorch
SAS
Slack
Google Cloud Platform
Herramientas de automatización
Desarrollo de aplicaciones
Experiencia en bases de datos
Kernel
Docker
Estimación y pronóstico
Keras
SPSS
Python

Descripción completa del empleo

Lead AI/ML Engineer - R01565293

AI/ML Engineer

Primary Skills

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Specialization

Data Science Advanced: Data Specialist

Job requirements

AI Engineer – Agentic AI Platforms & Applications About the Role We are looking for highly motivated AI Engineers to design, build, and deploy next-generation AI agents and autonomous workflows that solve real business problems. You will work closely with product, operations, and business teams to create production-grade agentic applications powered by LLMs, enterprise data, and modern AI orchestration frameworks. This role is ideal for engineers who enjoy rapid experimentation, solving ambiguous problems, and turning AI prototypes into scalable enterprise solutions. What You’ll Do • Design, build, and deploy AI agents and multi-agent systems using modern LLM frameworks and enterprise AI platforms • Develop agentic workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Growth • Build production-ready applications using LLMs, RAG pipelines, tool calling, memory systems, and orchestration frameworks • Integrate AI agents with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories • Evaluate and leverage foundation models across providers (Gemini, OpenAI, Anthropic, open-source models, etc.) based on use case requirements • Work closely with business stakeholders to identify opportunities, prototype solutions rapidly, and iterate based on user feedback • Create reusable agent frameworks, prompt libraries, evaluation pipelines, and deployment patterns • Implement observability, guardrails, evaluation, and monitoring for AI applications in production • Optimize agent performance for latency, accuracy, reliability, and cost • Contribute to internal best practices around agent architecture, prompting, RAG, and AI engineering standards • Stay current with emerging trends in autonomous agents, AI infrastructure, and enterprise AI adoption What We’re Looking For • Strong software engineering fundamentals with experience building scalable backend or full-stack applications • Hands-on experience with LLMs and modern AI application development • Experience building AI agents, autonomous workflows, or agentic applications • Familiarity with frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar • Strong understanding of: o RAG architectures o Prompt engineering o Vector databases o Tool/function calling o AI workflow orchestration o Context and memory management • Experience working with cloud platforms such as Google Cloud, AWS, or Azure • Experience with Vertex AI, Gemini Enterprise, OpenAI APIs, or similar enterprise AI platforms is a strong plus • Familiarity with APIs, microservices, event-driven systems, and enterprise integrations • Comfortable working in ambiguous environments with evolving requirements and rapid experimentation cycles • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders • Builder mindset with strong ownership and execution capabilities Preferred Qualifications • Experience deploying AI applications into production environments • Familiarity with AI evaluation frameworks, observability, and guardrails • Experience with Google Workspace APIs, Slack integrations, or enterprise automation tools • Knowledge of fine-tuning, model optimization, or open-source LLM deployment • Exposure to multi-agent coordination and autonomous decision-making systems • Experience working in fast-paced startup or innovation environments Experience • 4–8 years of software engineering experience • 2+ years of hands-on experience building AI/LLM-powered applications preferred Nice to Have • Experience with Python-based AI ecosystems • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search • Experience with Kubernetes, Docker, CI/CD, and cloud-native deployments • Contributions to open-source AI projects or experimentation with emerging agentic frameworks

Postúlate ahora

Refina tu búsqueda

infrastructure monitoring specialist empleos

Lead AI/ML Engineer – R01565293

DevOps Sr Analyst

Senior Software Development Engineer, Big Data

Oracle DBA

Infrastructure Support Specialist

Level 3:IT Support Specialist & Client Support

More jobs to discover

Quiero recibir la alerta de empleo más reciente para infrastructure monitoring specialist

Lead AI/ML Engineer - R01565293

Primary Skills

Specialization

Job requirements

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado