Technical Support (Home Office)

Buscojobs México; Veracruz; A distancia; MXN 1,117,000 - 1,677,000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Senior Machine Learning Ops Engineer to architect and develop scalable ML solutions. The role offers 100% remote work, competitive salary, and a supportive culture. Candidates should have substantial experience in Python programming and cloud environments (AWS/GCP).

Servicios

Competitive USD salary

100% remote work

Paid time off

National Holidays celebrated

Sick leave

Refundable Annual Credit

Team-building activities

Birthday day off

Formación

• 5+ years of experience implementing and deploying ML solutions.
• 3+ years with SQL and Spark.
• Strong communication skills to explain technical solutions.

Responsabilidades

• Architect and develop end-to-end machine learning solutions.
• Manage and automate the ML lifecycle.
• Collaborate with data engineers and data scientists.

Conocimientos

Advanced Python programming

Implementing ML solutions

SQL

Cloud environments (AWS or GCP)

Experience with Docker

Data architectures

Educación

Bachelor's Degree in Computer Science, Engineering, or related field

Herramientas

Docker

Kubernetes

Git

Airflow

AWS SageMaker Studio

Descripción del empleo

Machine Learning Ops Engineer - Work from home

Salary: MXN 1,117,000 - 1,677,000

Join our close-knit LATAM remote team. Connect through coffee breaks, tech talks, and games with your teammates and management.

Culture and autonomy: We champion autonomy, open communication, and respect for diversity as our core values.

Well-being and support: Our People Care team is here from day one to support you with time-off requests and wellness check-ins.

Client relationships: Our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us?

What we offer by joining us

• Competitive USD salary – We value your skills and contributions
• 100% remote work – You can work from anywhere, with opportunities to connect at our coworking spaces across LATAM
• Paid time off – Time off according to your country’s regulations, with full salary
• National Holidays celebrated – Time off to celebrate important events and traditions
• Sick leave – Time to recover and feel better
• Refundable Annual Credit – Perks to enhance your work-life balance
• Team-building activities – Coffee breaks, tech talks, and gatherings
• Birthday day off – Extra day off during your birthday week

About the project

As a Senior Machine Learning Ops Engineer, you will design and build large-scale architectures, workflows, tools, and automation for processing data and apply machine learning engineering to solve global business challenges with a focus on making tasks easier for data scientists.

Day-to-day responsibilities

• Architect and develop end-to-end machine learning solutions.
• Manage and automate the ML lifecycle.
• Collaborate with data engineers and data scientists to create scalable solutions.
• Work on cloud solutions, evaluating performance and cost of potential architectures.
• Understand the software development life cycle to integrate solutions with other technical areas.
• Interact with other teams to understand business challenges and propose solutions.
• Communicate and teach how to use the developments.

Ideal candidate

• Bachelor's Degree in Computer Science, Engineering, or related field
• 5+ years of experience implementing and deploying ML solutions
• 5+ years of advanced Python programming
• 3+ years with SQL and Spark
• 3+ years in cloud environments (AWS or GCP)
• Experience with Docker and Kubernetes
• Experience with Git and workflow orchestration (Airflow)
• Knowledge of data architectures and systems integration
• Ability to troubleshoot complex software issues
• Experience automating ML lifecycles and end-to-end ML solutions
• Scripting in Bash or similar
• Familiarity with FastAPI or similar for serving ML models
• Experience with AWS SageMaker Studio and infrastructure-as-code tools (e.g., CloudFormation)
• Understanding of SDLC and integrating ML solutions with other teams
• Strong communication skills to explain technical solutions
• Advanced English required for work with US clients

Hiring process

1. Let’s chat about your experience
2. Technical interview with our top developers
3. Meet the client – final step to joining our team

At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology. We invite you to be part of our dynamic team.

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