AI Engineer

valtech.com; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Valtech is seeking an AI Engineer to join our data and intelligence team. The role centers on building AI/ML solutions across cloud-native tools (GCP/Azure/AWS) to power commerce enablement and scalable insights.

You’ll work with diverse data from digital marketing, ecommerce, and content platforms. Ideal candidates will have hands-on experience deploying ML models in production, Databricks data pipelines, and creating AI dashboards with Power BI/Tableau/Looker.

Qualifications

• 5+ years of experience building and deploying ML models in production.
• Proficiency with Databricks and cloud-native ML tooling across GCP, Azure, or AWS.
• Strong Python and SQL skills; hands-on with scikit-learn, TensorFlow, PyTorch, or MLflow.
• Experience building data pipelines, training workflows, and model-serving systems.
• Experience creating AI-integrated dashboards with Power BI/Tableau/Looker.
• Collaborate with product owners, analysts, QA, and DevOps.
• Experience deploying models in cloud environments with pipelines and governance.
• Familiarity with data product thinking and reusable APIs or workflows.
• Hands-on with model explainability, governance, and bias detection tools.

Responsibilities

• Design, build, and scale AI/ML solutions using cloud-native tools across GCP, Azure, and AWS.
• Leverage Databricks to develop unified data pipelines and model workflows.
• Collaborate with data analysts, platform engineers, and stakeholders to operationalize models.
• Build AI-powered dashboards using Power BI, Tableau, or Looker.
• Apply NLP, time series forecasting, and clustering to optimize platforms.
• Integrate AI with platform telemetry to surface proactive insights.
• Champion data integrity, reusability, and responsible AI practices.
• Model Monitoring & Feedback Loops: monitoring, alerting, drift detection.
• LLM/GenAI Enablement for conversational analytics on marketing data.
• Real-Time Decisioning: real-time inferencing with event streams like Pub/Sub or Kafka.

Skills

AI/ML development

Python

SQL

Databricks

Cloud platforms

Data engineering

Model deployment

NLP

Power BI

Education

Bachelor's degree in CS/Math

Tools

TensorFlow

PyTorch

Vertex AI

BigQuery ML

Job description

Description: AI Engineer Colombia Remote Ideal candidates will have a strong foundation in AI/ML, cloud platforms, and data engineering. This role offers the opportunity to work at the intersection of cloud technologies, AI, and commerce enablement, driving value through scalable insights and automation.

The opportunity At Valtech, we’ve got opportunities to offer you — for learning; for growing; for making world-changing impact; for being a real agent of change. Our global workforce exists to unlock a better way to experience the world, and that all starts with our workplace. We’re proud of: What we do Our values Our workplace The borderless framework we work in

Ideal candidates will have a strong foundation in AI/ML, cloud platforms, and data engineering. They will use these skills not as buzzwords but as tools for building intelligent systems that support real-world digital operations. This role offers the opportunity to work at the intersection of cloud technologies, AI, and commerce enablement, driving value through scalable insights and automation. We are seeking an AI Engineer to join our growing data and intelligence team. If you enjoy solving complex business problems using advanced AI/ML tools and cloud-native solutions—while working with diverse data from digital commerce, marketing, and content platforms—read on! This role will focus on activating an AI-driven commerce transformation, delivering scalable intelligence across digital marketing, eCommerce, and content performance systems.

Role responsibilities

• Design, build, and scale AI/ML solutions using cloud-native tools across GCP, Azure, and AWS to support use cases like anomaly detection, content classification, predictive KPIs, and intelligent workflow automation.
• Leverage Databricks to develop unified data pipelines, orchestrate model training/inference workflows, and support real-time decisioning across multiple systems.
• Collaborate with data analysts, platform engineers, and business stakeholders to operationalize models that drive measurable impact (e.g., SLA improvements, user behavior insights, conversion predictions).
• Build AI-powered dashboards and explainable insights using Power BI, Tableau, or Looker—enabling business users to make informed decisions backed by models.
• Apply advanced techniques (e.g., NLP, time series forecasting, clustering) to optimize platform stability, personalization, and operational readiness.
• Integrate AI solutions with platform telemetry (e.g., observability logs, ticket metadata, content usage stats) to surface proactive insights and reduce downstream escalations.
• Champion data integrity, reusability, and responsible AI practices across the lifecycle of development, deployment, and monitoring.
• Model Monitoring & Feedback Loops: Establish performance monitoring, alerting, and drift detection mechanisms to ensure model integrity and business alignment post-deployment.
• LLM/GenAI Enablement: Support conversational analytics through GenAI/LLM interfaces for natural-language querying of marketing and commerce data.
• Real-Time Decisioning: Architect real-time inferencing capabilities using event-driven tools (e.g., Pub/Sub, Kafka) and integrate with commerce or marketing platforms for next-best-action recommendations.

Minimum qualifications

• 5+ years of experience building and deploying machine learning models in production environments.
• Proficiency with Databricks and cloud-native ML tooling across GCP (Vertex AI), Azure ML, or AWS SageMaker.
• Strong programming skills in Python and SQL; hands‑on experience with frameworks such as scikit‑learn, TensorFlow, PyTorch, or MLflow.
• Proven experience building data pipelines, training workflows, and model‑serving systems that integrate into enterprise environments.
• Experience creating AI-integrated dashboards or tools using Power BI, Tableau, or Looker.
• Demonstrated ability to collaborate with cross‑functional teams including product owners, analysts, QA, and DevOps.
• Experience deploying models in GCP, especially with Vertex AI Pipelines, BigQuery ML, and GenAI Studio or similar.
• Familiarity with data product thinking—turning ML insights into reusable APIs, dashboards, or automated workflows that business teams can use daily.
• Hands‑on with model explainability, governance, and bias detection tools (e.g., What‑If Tool, SHAP, Model Cards).

Preferred qualifications

• Exposure to multi-platform digital ecosystems (e.g., commerce platforms, content management, observability tooling, customer data platforms).
• Familiarity with orchestration tools like Airflow or event‑based workflows using Pub/Sub, Kafka, or Event Grid.
• Experience integrating ML models into monitoring systems or observability stacks (e.g., ELK, Prometheus, Grafana).
• Understanding of data governance and MLOps best practices (e.g., drift detection, version control, explainability).
• Strong communication skills with the ability to translate technical findings into business‑impact narratives.
• Previous experience contributing to AI strategy, capability roadmaps, or solution architecture in enterprise settings.
• LLM/GenAI experience (especially for insights extraction and conversational UX).
• Experience in retail or multi‑brand global ecosystems.
• Worked in environments requiring cross‑platform telemetry aggregation—logs, content stats, error traces, SLA metadata, etc.
• Experience with multi‑region data architectures and compliance‑aware ML deployment.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, our global team of 6,500 professionals in more than 60 offices help brands unlock value in a digitally accelerated world. At the intersection of insights and perspectives, we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known organisations, including L’Oreal, NatWest, DWP, P&G, Volkswagen, and US department of Agriculture. Valtech will always be recognized not just for the quality of the work we deliver, but for all the amazing people that make it happen. We work to create an equitable workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). At Valtech, we don’t just talk about how to get things done; we transform by doing.

We’re proud of: What we do Our values Our workplace The borderless framework we work in