Sr AI/Machine Learning Analyst at Sinch

, São Paulo, Brazil -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM agents, Prompt engineering, Python, Machine learning, LLMOps, LangGraph, LangSmith, LangFuse, Docker, Kubernetes, GCP, AWS, API design, CI/CD, Stochastic AI, System architecture

Industry

IT Services and IT Consulting

Description

ABOUT SINCH Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email. Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey. At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation! DESCRIPTION As a AI/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 corporate language is English — please submit your application in English. 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/ [https://eur03.safelinks.protection.outlook.com/?url=https://www.sinch.com/careers/&data=05|02|Martin.Grannen@sinch.com|91953d8549f24a66c93c08dcddb6f1fc|3b518aae89214a7b8497619d756ce20e|0|0|638629025025905624|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|0|||&sdata=ZZaRt1s71+p8ojRLPAKot+wjt6wyReK01M6JUXI3gFg=&reserved=0]. 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. Sinch is a global customer engagement platform that provides communication services for businesses across messaging, voice, and email. Sinch's services are used by more than 150,000 businesses, including many of the world's largest tech companies. Through strategic acquisitions and fast organic growth, Sinch has turned into an international powerhouse serving enterprises across the globe and handling over 700 billion engagements per year. In fact, independent analysts say we're a CPaaS leader!

Responsibilities

You will design, build, and operate large-scale AI agent workflows using LLMs while managing the full lifecycle of hybrid AI platforms. This role involves collaborating with product and engineering teams to ensure system reliability, cost-efficiency, and compliance.