обновлено 26 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI/ML, Cloud, Data Engineering): Building scalable AI/ML solutions, data pipelines, real-time inference systems, and intelligent dashboards for digital marketing, eCommerce, and content performance with an accent on cloud-native architecture, model operationalization, and explainable insights. Focus on designing monitoring and feedback loops, enabling LLM-based conversational analytics, and integrating event-driven recommendations across commerce and marketing platforms.
Location: Remote from Colombia
Company
is an experience innovation company that combines data, AI, creativity, and technology to deliver digital solutions for global brands.
What you will do
- Design, build, and scale cloud-native AI/ML solutions for anomaly detection, content classification, predictive KPIs, and workflow automation.
- Develop unified data pipelines and model training, inference, monitoring, and feedback workflows with Databricks and cloud ML platforms.
- Operationalize models with analysts, platform engineers, product owners, QA, DevOps, and business stakeholders.
- Build AI-powered dashboards and explainable insights using Power BI, Tableau, or Looker.
- Apply NLP, time-series forecasting, clustering, and responsible AI practices to improve personalization, stability, and operational readiness.
- Architect real-time decisioning and LLM/GenAI interfaces using event-driven tools and commerce or marketing platforms.
Requirements
- At least 5 years of experience building and deploying machine learning models in production.
- Proficiency with Databricks and cloud ML tooling such as GCP Vertex AI, Azure ML, or AWS SageMaker.
- Strong Python and SQL skills, with hands-on experience in scikit-learn, TensorFlow, PyTorch, or MLflow.
- Experience building data pipelines, training workflows, model-serving systems, and enterprise integrations.
- Experience creating AI-integrated dashboards or tools with Power BI, Tableau, or Looker.
- Experience with model explainability, governance, bias detection, MLOps, and GCP services including Vertex AI Pipelines and BigQuery ML.
Nice to have
- Experience with Airflow, Pub/Sub, Kafka, Event Grid, ELK, Prometheus, or Grafana.
- LLM/GenAI experience, especially for insight extraction and conversational user experiences.
- Background in retail, digital commerce, content platforms, observability, or multi-brand ecosystems.
- Experience with enterprise AI strategy, solution architecture, data governance, or multi-region ML deployment.
Culture & Benefits
- Work within a global organization of more than 6,500 professionals across over 60 offices.
- Collaborate in an inclusive and equitable environment focused on professional growth and meaningful digital impact.
- Reasonable adjustments are available for candidates participating in the application or interview process.
Hiring process
- After applying, a Talent Acquisition team member will contact candidates whose skills and experience match the position.
- Recruitment communications should come from email addresses ending in @.com or @kinandcarta.com.
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