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Lead a DevOps team to build and scale cloud-native AI/ML infrastructure, CI/CD pipelines, and MLOps workflows on AWS/Azure/GCP with Kubernetes, Terraform, and observability tools.
Maintain and automate SAS Viya environments for ING’s modelling teams, deploying analytical/risk models and troubleshooting platform issues in Azure.
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Build and operate a Kubernetes-based platform to enable scalable AI/ML model deployment, serving, and MLOps workflows for data scientists and engineers.
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly…
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Maintains and automates Azure/AWS cloud infrastructure, deploys AI services like Microsoft Foundry, and writes IaC with Bicep/CLI to keep systems reliable, secure, and cost-efficient.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Data Scientist Department: Neon One Location: Canada, United States Compensation: $110K – $125K • Offers Bonus • Multiple Ranges Employment Type: FullTime About Neon One At Neon One, we believe that technology is the…
Principal Research Data Scientist (Hybrid) Location: North Chicago, IL, us Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health…
Build and deploy ML models on high-frequency market data for a global hedge fund, optimizing distributed research pipelines and turning signals into live trading strategies.
Builds predictive models and analyzes healthcare claims data to improve drug cost management and AI-enabled tools for clients in a remote role.
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Build and deploy ML models for an AI website builder, focusing on computer vision, NLP, and recommendation systems to automate web design and development.
Design and deploy ML models to optimize manufacturing quality, predict anomalies, and forecast processes using Python, PyTorch/TensorFlow, and MLOps in an industrial AI environment.
Senior Software Engineer Location: London, HOLBEIN GARDENS, gb Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on,…
Design and build GenAI agents that automate engineering workflows like requirements analysis and test interpretation using LLMs, embeddings, and RAG pipelines.
Designs and builds Snowflake-based AI/ML infrastructure, automating data pipelines, feature prep, and model enablement while optimizing performance, cost, and security for enterprise AI solutions.
Designs and implements Snowflake-based data platforms and AI infrastructure, including warehouses, pipelines, and model-enablement patterns for production ML systems.
Data Engineer ( AI/ML ) Location: Pune, India Time Type: Full time Job Description Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers,…
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