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2,654

Jobs in San Luis Potosi, Mexico

Director of Machine Learning

Caylent

Mexico
Remote
MXN 2,395,000 - 3,134,000
24 days ago
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Freelance Recruiter (Remote / Global)

RecXchange

Monterrey
Remote
MXN 200,000 - 400,000
24 days ago

Technical Implementation Specialist

Mitratech Holdings Inc

Mexico
Remote
MXN 921,000 - 1,291,000
24 days ago

Social Media Manager & Video Creator

Four Tiers Contracting LLC

Ciudad de México
Remote
MXN 200,000 - 400,000
24 days ago

Senior Frontend Developer

Tend

Ciudad de México
Remote
MXN 1,105,000 - 1,475,000
24 days ago
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Mid Golang Backend Developer

Medium

Ciudad de México
Remote
MXN 400,000 - 600,000
24 days ago

AI-Driven Financial Controller — Remote

Clark Outsourcing

Ciudad de México
Remote
MXN 400,000 - 600,000
24 days ago

Financial Controller

Clark Outsourcing

Ciudad de México
Remote
MXN 400,000 - 600,000
24 days ago
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Asistente administrativo remoto

Asesores y consultores de México

Ciudad de México
Remote
MXN 50,000 - 200,000
24 days ago

Payroll Specialist - Argentina, Chile and Mexico

R

Monterrey
Remote
MXN 613,000 - 691,000
24 days ago

FullStack Tech Lead

Medium

Ciudad de México
Remote
MXN 1,290,000 - 1,659,000
24 days ago

Ingeniero Coordinador de Diseño Electromecánico Senior

ASESORIA Y ADMINISTRACIÓN DE PROYECTOS

Ciudad de México
Remote
MXN 200,000 - 400,000
24 days ago

Backend Tech Lead

Medium

Ciudad de México
Remote
MXN 1,474,000 - 2,212,000
24 days ago

DevOps Engineer

SailPoint

Mexico
Remote
MXN 737,000 - 1,291,000
24 days ago

Technical Account Manager

Medium

Ciudad de México
Remote
MXN 400,000 - 600,000
24 days ago

Staff Consultant- Virtual Networking and Hybrid Cloud

at Nutanix

Monterrey
Remote
MXN 800,000 - 1,200,000
24 days ago

Senior Golang Backend Developer

Medium

Ciudad de México
Remote
MXN 40,000 - 60,000
24 days ago

Golang Developer - Remote, Latin America

Medium

Mexicali
Remote
MXN 400,000 - 600,000
24 days ago

Golang Developer - Remote, Latin America

Medium

Ejido Mérida
Remote
MXN 400,000 - 600,000
24 days ago

Laravel and React Developer (Latin America, Remote position)

Medium

Ejido Mérida
Remote
MXN 1,105,000 - 1,475,000
24 days ago

Remote Laravel & React Engineer — High-Impact Growth

Medium

Ejido Mérida
Remote
MXN 1,105,000 - 1,475,000
24 days ago

Work at Home Data Entry Clerk (Part Time)

Medium

Ecatepec de Morelos
Remote
MXN 200,000 - 400,000
24 days ago

Golang Developer - Remote, Latin America

Medium

Culiacán
Remote
MXN 737,000 - 1,106,000
24 days ago

Remote Laravel & React Engineer — High-Impact Growth

Medium

Mexico
Remote
MXN 921,000 - 1,291,000
24 days ago

Laravel and React Developer (Latin America, Remote position)

Medium

Mexico
Remote
MXN 921,000 - 1,291,000
24 days ago

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Director of Machine Learning
Caylent
Mexico
Remote
MXN 2,395,000 - 3,134,000
Full time
24 days ago

Job summary

A cloud-native services company is seeking a Director, AI/ML Practice Leader to oversee a team of ML engineers and drive practice strategy and technical innovation. The ideal candidate will have over 10 years of consulting experience, specifically in AI/ML practices, and will work closely with AWS to deliver complex solutions. This role is fully remote, emphasizing a collaborative corporate culture and the importance of diversity among team members.

Benefits

Private Health Insurance
Flexible Time Off
Paid for exams and certifications
Peer bonus awards
State of the art laptop and tools
Equipment & Office Stipend
Annual stipend for Learning and Development
Work with an amazing worldwide team and in an incredible corporate culture

Qualifications

  • 10+ years of consulting/professional services experience, with at least 5 years leading AI/ML or data practices.
  • Proven track record architecting and delivering enterprise-scale ML solutions using AWS services.
  • Experience with practice P&L management and AWS co-sell motions.

Responsibilities

  • Oversee execution of complex AI/ML engagements ensuring on-time delivery and customer satisfaction.
  • Define the vision, roadmap, and operating model for the AI/ML practice.
  • Build and mature the consulting practice through development of offerings and delivery frameworks.

Skills

AWS ML & Data Services (SageMaker, Bedrock, Glue, EMR, S3, Lambda, EC2, IAM)
Infrastructure & Automation (Docker, Git, AWS CDK or Terraform, MLFlow, CI/CD pipelines)
Generative AI (Model fine-tuning, RAG pipelines)

Education

10+ years of consulting/professional services experience

Tools

AWS services (SageMaker, Bedrock, Glue, EMR)
Job description

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full‑range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

Role Overview

Director, AI/ML Practice Leader. You will lead a 50‑100 team of ML engineers, architects, and consultants to deliver cutting‑edge AI/ML solutions on AWS. You will drive practice strategy, technical innovation, and operational excellence, while building high‑value partnerships with AWS and scaling the practice for growth.

This role demands a leader who is as comfortable shaping consulting offerings and go‑to‑market initiatives as they are diving deep into the technical stack to guide solution architecture, MLOps strategy, and large‑scale ML deployments.

Key Responsibilities
  • Delivery Excellence: Oversee execution of complex AI/ML engagements across industries, ensuring on‑time delivery, customer satisfaction, and AWS Well‑Architected compliance.
  • Strategic Leadership: Define the vision, roadmap, and operating model for the AI/ML practice aligned with company objectives and AWS innovations.
  • Practice Development: Build and mature the consulting practice through development of offerings, accelerators, delivery frameworks, and knowledge management.
  • Technical Oversight: Serve as an executive‑level technical authority—guiding architecture decisions, reviewing high‑impact designs, and ensuring use of best practices in ML engineering and MLOps.
  • Business Growth: Partner with sales, alliances, and AWS field teams to drive pipeline, co‑sell initiatives, and joint customer success stories.
  • Talent & Culture: Attract, mentor, and retain top technical and consulting talent, fostering a culture of innovation, continuous learning, and delivery excellence.
Technical Focus Areas & Core Stack
  • AWS ML & Data Services: SageMaker, Bedrock, Glue, EMR, S3, Lambda, EC2, IAM
  • Infrastructure & Automation: Docker, Git, AWS CDK or Terraform, MLFlow, CI/CD pipelines
  • Generative AI: Model fine‑tuning, RAG pipelines, deployment on AWS‑native and open‑source stacks
Qualifications
  • Consulting Leadership: 10+ years of consulting/professional services experience, with at least 5 years leading AI/ML or data practices
  • Deep AWS Expertise: Proven track record architecting and delivering enterprise‑scale ML solutions using AWS services (SageMaker, Bedrock, Glue, EMR, etc.).
  • Business Acumen: Experience with practice P&L management, offering development, and AWS co‑sell motions.
Benefits
  • Private Health Insurance
  • Flexible Time Off
  • Paid for exams and certifications
  • Peer bonus awards
  • State of the art laptop and tools
  • Equipment & Office Stipend
  • Annual stipend for Learning and Development
  • Work with an amazing worldwide team and in an incredible corporate culture

NOTE: We’re unable to provide visa sponsorship now or at any time in the future.

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision‑making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact talent@caylent.com.

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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