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Engineering Manager - MLOps & Analytics

Canonical

Mexicali
Remote
MXN 400,000 - 600,000
4 days ago
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Marketing Specialist (JOB ID: ROBSILR)

Inside Out

Mexico
Remote
MXN 200,000 - 400,000
4 days ago
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Senior ServiceNow Developer

CompuCom

Ciudad de México
Remote
MXN 400,000 - 600,000
4 days ago
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Senior Clinical Data Risk Analyst

ICON Clinical Research

Ciudad de México
Remote
MXN 1,007,000 - 1,375,000
4 days ago
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Unit Sales Manager, CT

Kimberly Clark

Comoapan
Remote
MXN 733,000 - 1,100,000
4 days ago
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Mechanical Engineer

Capgemini

Región Centro
Remote
MXN 549,000 - 825,000
4 days ago
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Fullstack Developer

Capgemini

Aguascalientes
Remote
MXN 200,000 - 400,000
4 days ago
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Field Application Specialist Flow

Danaher Corporation

Ciudad de México
Remote
MXN 1,099,000 - 1,467,000
4 days ago
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C# Developer Mid (Remote)

Capgemini

Región Centro
Remote
MXN 40,000 - 60,000
4 days ago
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Associate Global Quality Documentation LATAM

Ingredion

Ciudad de México
Remote
MXN 458,000 - 642,000
4 days ago
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Solutions Consultant

SS&C Technologies

Mexico
Remote
MXN 1,466,000 - 1,833,000
4 days ago
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Software Backend Developer (Remote - Mexico Only)

Varicent

Ciudad de México
Remote
MXN 1,099,000 - 1,467,000
4 days ago
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Sr. Fullstack Software Engineer - .Net/aws (Remote - Mexico Only)

Varicent

Chihuahua
Remote
MXN 1,466,000 - 2,200,000
4 days ago
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Appointment Setter

VirtueStaff

Ciudad de México
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MXN 200,000 - 400,000
4 days ago
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Senior Technology Analyst - Audit and Automation

Samsara

Pachuca
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MXN 1,864,000 - 2,507,000
4 days ago
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QA Analyst I

Varicent

Mexico
Remote
MXN 400,000 - 600,000
4 days ago
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VP of Retail Marketing

Paradigm

Ciudad de México
Remote
MXN 200,000 - 400,000
4 days ago
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Graphic Designer/ Illustrator at Somewhere Latin America

Itlearn360

Ciudad de México
Remote
MXN 200,000 - 400,000
4 days ago
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Ingeniero de Software Senior (React) | Trabajo Remoto | Tijuana, Mexico

BairesDev

Tijuana
Remote
MXN 200,000 - 400,000
4 days ago
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Channel Manager

ROTATE

Xico
Remote
MXN 1,282,000 - 1,650,000
4 days ago
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Search Engine Optimization Manager (Remote Mexico)

Directive Consulting

Ciudad de México
Remote
MXN 1,099,000 - 1,467,000
4 days ago
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Remote Freelance Italian Instructor

Berlitz

Nezahualcóyotl
Remote
MXN 200,000 - 400,000
4 days ago
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Definity First

Mexico
Remote
MXN 200,000 - 400,000
4 days ago
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Technical Support Specialist

Samsara

Pachuca
Remote
MXN 200,000 - 400,000
4 days ago
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ROBOT Pilot - Customer Service

Keyword Studios

Ciudad de México
Remote
MXN 50,000 - 200,000
4 days ago
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Engineering Manager - MLOps & Analytics
Canonical
Mexicali
Remote
MXN 400,000 - 600,000
Full time
4 days ago
Be an early applicant

Job summary

A leading technology firm is seeking an experienced Engineering Manager to manage a distributed team focused on MLOps. The role requires professional Python development and a solid understanding of machine learning practices. Responsibilities include mentoring team members, conducting one-on-ones, and ensuring effective team processes. The position offers a remote work environment with travel opportunities for team events.

Benefits

Personal learning and development budget of USD 2,000 per year
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme

Qualifications

  • Track record of professional software delivery.
  • Willingness to travel up to 4 times a year for events.
  • Experience working on distributed teams in open source.

Responsibilities

  • Manage distributed team of engineers and MLOps portfolio.
  • Conduct one-on-one meetings with team members.
  • Mentor and grow direct reports.

Skills

Professional python development experience
Understanding of machine learning
Experience designing MLOps solutions
Hands-on experience with machine learning libraries
Experience with container technologies
Experience with public clouds
Experience in Linux and open-source

Education

Exceptional academic track record

Tools

Docker
Kubernetes
Job description
Overview

The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help team members grow as engineers, do meaningful work, perform at a high level, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important as the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location: This is a Globally remote role.

What your day will look like
  • Manage a distributed team of engineers and its MLOps/Analytics portfolio
  • Organize and lead the team's processes in order to help it achieve its objectives
  • Conduct one-on-one meetings with team members
  • Identify and measure team health indicators
  • Interact with a vibrant community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and its MLOps solutions
  • Mentor and grow your direct reports, helping them achieve their professional goals
  • Work from home with global travel for 2 to 4 weeks per year for internal and external events
What we are looking for in you
  • A proven track record of professional experience of software delivery
  • Professional python development experience, preferably with a track record in open source
  • A proven understanding of the machine learning space, its challenges and opportunities to improve
  • Experience designing and implementing MLOps solutions
  • An exceptional academic track record from both high school and preferably university
  • Willingness to travel up to 4 times a year for internal events
Additional skills that you might also bring
  • Hands-on experience with machine learning libraries, or tools.
  • Proven track record of building highly automated machine learning solutions for the cloud.
  • Experience with building machine learning models
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Experience in the Linux and open-source software world
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on a distributed team on an open source project -- even if that is community open source contributions.
  • Demonstrated track record of Open Source contributions
What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • Distributed work environment with twice-yearly team sprints in person - we\'ve been working remotely since 2004!
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues from your team and others
  • Priority Pass for travel and travel upgrades for long haul company events
About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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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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