Sr AI/Machine Learning Analyst

DESCRIPTION
As aAI/Machine Learning III, you will own production-grade AI systems operating at massive scale, making autonomous decisions with real business and compliance impact.
This hands-on role covers the full lifecycle of hybrid AI platforms and close collaboration with Product, Compliance, and global Engineering teams.

Main responsibilities:

• Design, build, and operate large-scale AI agent workflows using LLMs, under strict latency, reliability, and cost constraints.

• Own the full lifecycle of hybrid AI systems combining LLM-based agents and traditional Machine Learning models.

• Architect and optimize durable, stateful workflow orchestration for long-running, high-impact review processes.

• Define and execute robust evaluation strategies for LLM agents, including offline datasets, quality metrics, regression testing, and production monitoring.

• Lead end-to-end LLMOps: provider selection, cost optimization, rate-limit management, model upgrades, and failover strategies.

• Translate product requirements into technical designs, assess feasibility, and manage risks inherent to stochastic AI systems.

• Collaborate closely with Product, Compliance, and global Engineering stakeholders to communicate system capabilities, limitations, and risk profiles.

Organizational Context & Impact

• This role supports Sinch’s core AI automation and compliance platforms, increasingly embedded in customer-facing products.

• Your work directly impacts operational efficiency, cost reduction, and risk management at a global scale.

REQUIREMENTS

• Proven experience building and operating LLM-based agents in large-scale production environments.

• Strong understanding of agent architectures, prompt engineering, structured outputs, guardrails, cost, and latency optimization.

• Hands-on experience with agent orchestration and observability frameworks (e.g., LangGraph, LangSmith, LangFuse or similar).

• Solid background in traditional Machine Learning pipelines, model evaluation, and serving.

• Strong software engineering skills in Python, including async programming, API design, testing, CI/CD, and cloud-native infrastructure (Docker/Kubernetes, GCP/AWS).

• Practical experience with LLMOps, including cost control, rate limits, model lifecycle management, and multi-provider strategies.

• Advanced or fluent English.

• Bachelor's degree completed

OUR HIRING PROCESS

We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel.

We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us!

BENEFITS
STAY HEALTHY: We cover 100% of medical and dental plans for Sinchers and eligible dependents through Bradesco Saúde.

FLEXIBLE BENEFITS: With the Caju flexible benefit card, our Sinchers can choose to use benefits on food, education, and home office assistance.

FAMILY FIRST: Our Sinchers can enjoy paid maternity leave for 180 days and paternity leave for 30 days. Plus, we provide daycare assistance for kids up to five years old.

EVERYDAY WELLBEING: We partner with Wellhub to help Sinchers access gyms and wellness options.

SECURE YOUR FUTURE:Our Partnership with Prudential life insurance provides coverage for all Sinchers in the events of unexpected absences, serious illness, accidents, and disabilities.

DIVERSITY AND INCLUSION: We offer annual reimbursements for certain expenses related to disabilities and/or transgender needs.

TAKE A BREAK: Our Sinchers can take a day off on their birthday to celebrate with their loved ones.