Sr AI/Machine Learning Analyst (Anti-Fraude)

Sinch; Brasil; Presencial; BRL 350 000 - 520 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Flexible benefits

Family leave

Wellbeing programs

Life insurance

Diversity & Inclusion

Birthday leave

Resumo da oferta

Sinch is seeking a Machine Learning Engineer to drive large-scale fraud-detection models, owning the full ML lifecycle from experimentation to production. You will build scalable pipelines, ensure reliability in high-volume environments, and collaborate with Engineering and Product teams to evolve the Anti‑Fraud platform.

Key requirements include Python, ML libraries (Scikit-learn, TensorFlow, PyTorch), Databricks/Spark, and cloud skills (AWS).

Qualificações

• Proven experience building and deploying production ML systems.
• Strong Python programming and ML libraries experience (Scikit-learn, TensorFlow, PyTorch).
• Experience with large-scale data processing frameworks (Databricks, Spark).
• Knowledge of production ML pipelines design and maintenance.
• Solid understanding of system design, scalability, and reliability.
• Experience with cloud platforms (AWS preferred).
• Excellent problem-solving skills and ability to work autonomously.
• Advanced or fluent English.
• Experience with text classification, anomaly detection, or image classification in fraud contexts.

Responsabilidades

• Design, train, and deploy production-grade ML models for fraud detection.
• Own the full ML lifecycle from experimentation through deployment and monitoring.
• Build and maintain scalable data pipelines for preprocessing and transformation of large datasets.
• Ensure ML systems are reliable, observable, and scalable in high-volume environments.
• Collaborate with Engineering, Product, and Anti-Fraud teams from problem definition to delivery.
• Implement and optimize ML algorithms using Python and major frameworks.
• Optimize model and system performance in cloud environments, especially AWS.
• Promote best practices in experimentation, reproducibility, and documentation.

Conhecimentos

Python

ML libraries

Cloud/AWS

Data pipelines

System design

Problem-solving

English

Ferramentas

Databricks

Spark

Airflow

Dagster

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Descrição da oferta de emprego

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

This role develops and operates large‑scale Machine Learning models to detect and prevent fraud, owning the full ML lifecycle from experimentation to production. You will build scalable pipelines, ensure system reliability in high‑volume environments, and collaborate with engineering and product teams to evolve the Anti‑Fraud platform.

MAIN RESPONSIBILITIES

• Design, train, and deploy production‑grade ML models, including text classification, anomaly detection, and image classification
• Own the full ML lifecycle: from experimentation and validation to deployment, monitoring, and continuous improvement
• Build and maintain scalable data pipelines for preprocessing, validation, and transformation of large datasets
• Ensure ML systems are reliable, observable, and scalable in high‑volume production environments
• Collaborate closely with Engineering, Product, and Anti‑Fraud teams from problem definition to delivery
• Implement and optimize ML algorithms using Python and frameworks such as TensorFlow, PyTorch, and Scikit‑learn
• Optimize model and system performance in cloud environments, particularly AWS
• Promote best practices in experimentation, reproducibility, monitoring, and documentation

REQUIREMENTS

• Experience building and deploying ML systems in production
• Strong Python skills and hands‑on experience with ML libraries (Scikit‑learn, TensorFlow, PyTorch)
• Experience with large‑scale data processing frameworks (e.g., Databricks, Spark)Experience designing and maintaining production ML pipelines
• Solid understanding of system design, scalability, and reliability
• Experience with cloud platforms (preferably AWS)
• Strong problem‑solving skills and ability to work autonomously
• Advanced or fluent English
• Experience with large‑scale text classification, anomaly detection, or image classification
• Background in fraud detection or high‑risk/high‑volume environments
• Familiarity with orchestration tools (Airflow, Dagster)
• Experience with Docker and Kubernetes
• Experience working with Lakehouse architectures

BENEFITS

ITSSTAY HEALTHY: We cover 100% of medical and dental plans for Sinchers and eligible dependents through Bradesco Saú.

FLEXIBLE BENEFIT: 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.