Jobs at Wizeline

The Senior ML/AI Engineer will collaborate with data scientists to implement optimized ML workflows, develop tools for prompt management, and monitor system performance while managing data pipelines and integrating AI APIs.

The Account Manager will develop long-term client relationships, drive growth, and ensure alignment between client needs and organizational services through strategic planning and communication.

Design and maintain REST and WebSocket APIs using FastAPI, manage AWS services, implement AI architectures with prompt engineering, and ensure code quality through testing and CI/CD.

Design, build, and maintain scalable, low-latency backend services using Node.js and AWS (EC2, Lambda). Implement event-driven architectures with SQS/SNS, use DynamoDB for high-performance data, develop RESTful APIs, monitor and optimize performance, and participate in code reviews and cross-functional collaboration.

Lead end-to-end implementation of an infrastructure monitoring/observability platform across hybrid environments. Coordinate infrastructure, operations, security, development teams and vendors; manage timeline, budget, risks, compliance for regulated financial environments; ensure documentation, training, and transition to operations; maintain stakeholder communication.

The Data Scientist will design and validate causal models, implement methodologies for causation, and conduct RCTs while analyzing complex data and presenting findings to non-technical audiences.

Lead UX/Product Designer to craft end-to-end omni-channel B2B2C financial services experiences. Lead human-centered design, create sitemaps, flows, wireframes, and prototypes, translate research and behavioral data into KPI-aligned strategies, ensure accessibility and regulatory compliance, collaborate with cross-functional teams, run workshops, mentor designers, and evolve design systems and AI-enabled UX approaches using Figma and Adobe Creative Suite.

The Senior Data Architect partners with teams to optimize data models, ensures data alignment with business requirements, and enhances data governance practices.

The Staff Fullstack Engineer will design and develop scalable applications using React, Python, and AWS, mentor engineers, define system architecture, and ensure best practices in a hybrid work model.

Lead capacity planning, monitoring, and optimization for hybrid infrastructure. Ensure availability, scalability, and performance across VMware and public cloud. Implement observability, automate provisioning and operations, support Kubernetes/containerized workloads, conduct RCA and performance analysis, and produce capacity and executive reporting to guide business decisions.

The role involves designing causal models, validating business initiatives, applying statistics to evaluate causal relationships, and implementing RCTs for business strategies. Responsibilities include maintaining documentation and preparing reports for non-technical audiences.

Develop and deliver AI-powered digital products as a senior full-stack engineer using TypeScript and React. Adapt across full-stack environments, leverage AI tooling and LLMs, understand agent architectures, collaborate across cross-functional teams, communicate clearly in English, and perform in fast-paced, dynamic settings.

Lead visual design across digital and print channels, translate business goals into visual concepts, ensure brand and accessibility compliance, mentor and review designers, collaborate with marketing and stakeholders, and manage multiple projects to deliver high-quality creative assets.

Maintain and extend distributed ETL pipelines and BigQuery datasets, build and operate REST microservices, optimize analytical queries, operate AI-powered tooling, and ensure backward compatibility across authentication flows.

Lead data quality and analytics efforts by designing and automating data quality checks, preparing and validating datasets, developing reporting and dashboards, optimizing SQL/ETL for migration to Snowflake, and collaborating with data engineers, data scientists, and business stakeholders to deliver trusted, documented datasets for analytics and modeling.

Design, build, and maintain cloud-native .NET applications using event-driven architectures and message brokers. Implement strong SQL-backed data models, IaC, and CI/CD pipelines. Prioritize observability and scalable system design while mentoring junior engineers and leading small initiatives. Communicate effectively in English.

Design, build, and deploy production-grade generative AI and LLM solutions on AWS Bedrock. Implement RAG, AI agents, vector search, and scalable cloud-native pipelines. Collaborate with data scientists, engineers, and product teams, run experiments to improve performance, and ensure responsible, secure enterprise deployments.

Design, build, and operate AWS-based infrastructure with Terraform and monitoring (Datadog). Automate infrastructure/configuration, mentor junior engineers, collaborate with stakeholders, and apply development experience and cybersecurity awareness to scale and maintain production systems.

Lead end-to-end delivery of marketing initiatives within cross-functional Pods, manage multiple concurrent projects, run Agile ceremonies, monitor capacity and project health, handle approvals and compliance workflows, and drive process improvements and reporting.

Design user-centered digital products in financial services with a focus on strategic UX, cross-functional collaboration, and prototype development.