4 дня назад
Senior Data & Applied AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data & Applied AI Engineer (Data Engineering/AI): Building and scaling enterprise data products, AI solutions, and MLOps platforms for healthcare innovation with an accent on reliable data pipelines, Generative AI, cloud-native services, and governed model operationalization. Focus on designing distributed data systems, deploying secure APIs and applications, and solving complex challenges across observability, security, scalability, and regulatory readiness.
Location: São José dos Campos, São Paulo, Brazil. The position is also described as being located in North America or LATAM and requires up to 5% travel, including international travel.
Company
Johnson & Johnson MedTech develops healthcare technologies and solutions aimed at improving human health through science, innovation, and technology.
What you will do
- Design, build, and optimize batch and streaming data pipelines, governed data products, analytical datasets, and lakehouse solutions.
- Develop and operationalize AI and Generative AI solutions, including retrieval, orchestration, evaluation, LLM-enabled applications, and model lifecycle management.
- Build MLOps capabilities covering deployment, monitoring, lineage, governance, and lifecycle management.
- Develop cloud-native platform services, microservices, REST APIs, event-driven integrations, and full-stack applications.
- Establish standards for data quality, metadata, observability, security, performance, architecture, and regulatory readiness.
- Lead technical evaluations, architecture and code reviews, troubleshooting, mentoring, and collaboration with data scientists, product teams, architects, and business stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
- At least 6 years of engineering experience delivering enterprise-scale data, AI, analytical, or cloud platforms.
- Advanced proficiency in Python, PySpark, SQL, distributed data processing, Databricks, Azure Data Factory, lakehouse architectures, and Azure cloud data services.
- Experience with data pipelines, data products, analytical models, data integration, data quality, metadata, lineage, governance, observability, and security.
- Experience developing or integrating applied AI and Generative AI solutions and operationalizing AI or ML workloads.
- Experience with APIs, backend services, Docker, Kubernetes, Azure cloud-native architecture, CI/CD, infrastructure automation, authentication, authorization, and enterprise security controls.
Nice to have
- Advanced Databricks and lakehouse architecture experience, streaming technologies, and event-driven processing.
- Knowledge of RAG, Agentic AI, prompt engineering, AI evaluation, MLflow, ZenML, and LLM application development.
- Experience with GitOps, ArgoCD, OpenTelemetry, Grafana, Prometheus, Azure Monitor, TypeScript, React, Node.js, and related application technologies.
- Experience with regulated data and AI governance, ERP/SAP integrations, IoT, edge computing, or industrial data solutions.
Culture & Benefits
- Inclusive environment that values diverse experiences, perspectives, and ideas.
- Work with offshore teams and promote engineering best practices.
- Opportunity to shape enterprise-scale data and AI platforms supporting healthcare innovation.
- Up to 5% travel, including international travel.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →