Senior MLOps Engineer — Remote/Hybrid

Capgemini; Ciudad de México; Remote; MXN 1,281,112 - 1,830,161; Full time

Benefits offered by this job

Competitive salary and performance-based bonuses

Comprehensive benefits package

Flexible work arrangements

Dynamic and inclusive work culture

Private health insurance

Paid time off

Training and development opportunities

Job summary

A leading global consulting firm is hiring a Senior Machine Learning Operations Engineer in Ciudad de México. The role involves delivering complex ML Ops tasks, collaborating with teams to integrate solutions, and consulting on DevOps pipelines. Candidates should have 3-6 years of relevant experience and a bachelor's degree in a related field. Fluency in English is required, and knowledge of AWS, Python, and SQL are essential. This role offers a competitive salary, flexible arrangements, and a dynamic work culture.

Qualifications

• 3–6 years of experience in a similar role.
• Fluency in English.
• Insurance experience is desirable.

Responsibilities

• Deliver ML Ops engineering tasks including design, development, and maintenance.
• Collaborate with cross‑functional teams to define machine learning frameworks.
• Consult on the design and implementation of DevOps and ML Ops pipelines.
• Communicate and apply machine learning engineering concepts effectively.

Skills

AWS

MLOps experience

Python

SQL

DataBricks

Snowflake

Jenkins

ETL pipelines understanding

Independent work

Education

Bachelor's degree in management information systems, computer science, or related field

Job description

A leading global consulting firm is hiring a Senior Machine Learning Operations Engineer in Ciudad de México. The role involves delivering complex ML Ops tasks, collaborating with teams to integrate solutions, and consulting on DevOps pipelines. Candidates should have 3-6 years of relevant experience and a bachelor's degree in a related field. Fluency in English is required, and knowledge of AWS, Python, and SQL are essential. This role offers a competitive salary, flexible arrangements, and a dynamic work culture.