MLOps Engineer

At Sequoia Connect we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent connecting human potential with complex industrial execution. By joining our inner circle you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your Human OS and accelerating your growth through world-class high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally our client empowers over 1200 global customersincluding several Fortune 500 companiesto Rise. With a massive network of 163000 professionals across 90 countries they are at the absolute forefront of digital transformation leveraging next-generation technologies such as 5G AI Blockchain and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise this is where you belong.

We are currently searching for a MLOps Engineer / ML Platform Engineer:

The Challenge (Responsibilities)

• Monitor AI models and agents in production for performance latency errors and availability tracking statistical health indicators such as model drift and data distribution changes.
• Detect and triage production incidents related to AI behavior executing rollbacks throttling or model disabling where thresholds are breached.
• Support deployment versioning and release of AI models and agents using CI/CD-style pipelines and maintain registries covering model ownership and lineage.
• Ensure AI systems adhere to Responsible AI principles maintaining audit trails and supporting fairness bias explainability and transparency monitoring in production.
• Integrate AI systems with monitoring logging and alerting platforms collaborating with product engineering and data teams to standardize AI Ops patterns.

Your Profile (Requirements)

• Strong Python skills and experience supporting ML or LLM-based systems.
• Deep understanding of Model Ops / MLOps focusing on the operational phase after deployment.
• Experience with monitoring and logging systems CI/CD pipelines and containerized deployments (e.g. Docker-based runtimes).
• Ability to work cross-functionally with product data science engineering and risk teams.
• High-Performance Mindset: Resilience emotional intelligence and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between coding and engineering.

Desired

• Familiarity with cloud platforms (Azure preferred) and production troubleshooting.
• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• Remote

If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page:
MLOps Python Docker CI/CD Azure

Requirements:

Strong Python skills and experience supporting ML or LLM-based systems; Understanding of Model Ops / MLOps especially the operational phase after deployment; Experience with monitoring and logging systems CI/CD pipelines and containerised deployments (e.g. Docker-based runtimes); Familiarity with cloud platforms (Azure preferred) and production troubleshooting; Ability to work cross-functionally with product data science engineering and risk teams; Experiencie with IA.