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Build and maintain ML pipelines and AI infrastructure for banking products, using Kubernetes, Docker, Terraform, and cloud platforms to deploy and monitor ML models at scale.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Build and maintain scalable cloud infrastructure for AI/ML video systems using Kubernetes, GPU workloads, and MLOps pipelines.
Builds and maintains Databricks Lakehouse data pipelines and AI foundations for clients, designing medallion architectures, Delta Lake tables, and Unity Catalog governance to power analytics and AI-enabled products.
Design and lead enterprise-scale data platforms (Lakehouse, Data Mesh) and ML pipelines using cloud tools (AWS/GCP/Azure), then mentor teams to deliver analytics and data products for ad-tech clients.
Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
Build and operate production-grade ML platforms on AWS/Azure, turning research prototypes into reliable, scalable systems for global retail brands.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Lead a team of data scientists to build ML models and real-time analytics for IoT and supply-chain solutions, using Databricks and forecasting techniques to optimize Zebra’s products and customer outcomes.
The Role We're hiring a Solutions Engineer to be the technical face of Trustible for our customers. You'll lead data migrations, configure the platform for each customer's environment, and build…
Build production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, from architecture to deployment.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Build, secure, and automate Databricks on AWS for Vanguard’s fintech platform, provisioning workspaces, Unity Catalog, and AWS infrastructure while enabling AI/ML workloads and enterprise governance.
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