FBS Sr. MLOps Engineer

Capgemini; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading global consulting firm in São Paulo is seeking a Sr. ML Ops Engineer to build strategic ML Ops capabilities. The ideal candidate has 3-6 years of experience, holds a degree in management information systems or computer science, and is proficient in AWS and Python. This role requires collaboration with cross-functional teams and managing complex engineering tasks. Competitive salary and professional development opportunities offered.

Serviços

Dynamic and multicultural work environment

Continuous learning and development

Qualificações

• 3-6 years of experience in a similar role.
• Experience in the insurance industry is desirable.

Responsabilidades

• Deliver specific ML Ops engineering tasks such as designing and maintaining models.
• Collaborate with architecture teams to define machine learning solutions.
• Lead portions of deployment processes under guidance.

Conhecimentos

Designing complex ML Ops engineering tasks

Collaborating with cross-functional teams

Communicating ML engineering concepts

Fluency in English

Formação académica

Bachelor's degree in management information systems or computer science

Ferramentas

AWS

Python

MLOps

Descrição da oferta de emprego

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

The new ML Ops team will be our centralized shared services team supporting all ML Ops capabilities such as training, deployment, monitoring and feature stores. They will be responsible for the strategy and implementation of these capabilities as well as best practices for the business units to follow.

The Sr. ML Ops Engineer will support the ML Ops team and will work to build out the strategic ML Ops capabilities along with other engineers on the team. They will need to be proactive, own user stories, and follow engineering best practices from the team engineering

We count on you for:

• Delivering specific ML Ops engineering tasks such as moderate to complex level designing, developing, implementing, optimizing, and maintaining models, systems, and applications using existing and emerging technology platforms.
• Collaborating with cross-functional architecture teams to define and integrate frameworks and roadmaps for machine learning solutions, projects are generally of moderate complexity.
• Consulting on the design, development, and implementation of DevOps and ML Ops pipelines. May lead portions of deployment processes under guidance from people leader. Reviews, verifies, validates, and troubleshoots code to ensure high availability and high performance of machine learning models and applications.
• Using complex knowledge and understanding of code management principles and best practices to follow architectural and governance guidelines.
• Effectively communicating and applying machine learning engineering value, concepts, and strategies across multiple scenarios.

• 3-6 years of experience in a similar role
• Bachelor's degree in management information systems, computer science or similar
• Insurance Experience (Desirable)
• Fluency in English

Technical & Business Skills

• AWS (MUST)
• MLOps Experience (Understanding models, architecture) (MUST)
• Python (MUST)