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The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
The Principal Data Engineer will design and build scalable Big Data, analytics, and AI platforms while leading engineering projects and client communication. The role involves operationalizing AI models and mentoring teams using cloud-native technologies like Spark, Kafka, and various IaC tools.
Manages end-to-end cloud migration and modernization programs across GCP, AWS, and Azure for TELUS Digital, leading large-scale transformations, governing multi-cloud initiatives, and optimizing costs up to $50M budgets.
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
What is the opportunity? Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Build and deploy AI/ML and NLP models, including LLMs, to automate healthcare workflows while ensuring clinical accuracy, regulatory compliance, and production reliability.
En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a nuestros clientes y disfrutar…
The Senior Data Engineer will build and maintain the AWS and Snowflake data platform to support generative AI features and analytics for life sciences software. The role involves designing data pipelines, implementing data governance, and mentoring team members in a distributed global environment.
Senior Data Analyst/Analytics Engineer owning commercial analytics dashboards and data models using SQL, dbt, Tableau/Looker/QuickSight, and Python on an AWS data lake stack at a global payments company.
An AI/ML Engineer at Nexstar Media Group designs, builds, and deploys machine learning and agentic AI systems for real-world products, working across the full ML lifecycle from data preparation to model monitoring and iteration.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Build and maintain cloud-based data pipelines and infrastructure to power AI models, enabling training, deployment, and monitoring for Verisure’s global security products.
Design and deploy AWS-based generative AI solutions for enterprise customers, advising on LLMs, agents, and AI workflows while collaborating with product teams to shape future services.
Builds and maintains cloud data pipelines on AWS and Databricks, ensuring high uptime and performance while applying advanced analytics and monitoring.
Lead a team to build AI-powered computer vision systems for aircraft engine inspections, deploying edge and cloud solutions using PyTorch, OpenCV, and AWS SageMaker.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
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