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Lead the design and deployment of agentic AI systems and enterprise copilots using AWS Bedrock, SageMaker, and Microsoft Copilot Studio, while mentoring a team of data scientists and AI engineers.
Build and deploy LLM-powered agents and RAG pipelines to automate care plans, documentation, and workflows in a healthcare EHR platform.
iCareManager (iCM) is seeking a results-driven Artificial Intelligence Manager to lead the design and execution of our AI strategy across the organization. As a core leader in our Engineering team, you’ll be…
Lead the design of secure AI platforms, embedding privacy, compliance, and risk controls into ML pipelines and model deployments while aligning with regulations like PDPA.
Designs and architects enterprise-scale AI solutions, integrating LLMs, RAG, and cloud AI platforms like Azure AI and AWS SageMaker into secure, scalable systems.
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
Senior MLOps Engineer builds and maintains scalable ML pipelines on AWS/Azure using SageMaker, MLFlow, and IaC tools like Terraform to deploy and monitor production models.
Build and optimize computer-vision models for AI dashcams that detect risky driving and coach fleets in real time using Python/C++ and deep-learning frameworks.
Designs and builds backend services in Node.js and Python, integrates ML models (AWS SageMaker, Azure ML), and sets up CI/CD pipelines for analytics dashboards.
Build and deploy generative AI solutions and AI agents using Python, LLMs, and AWS for a U.S. insurance client, integrating APIs and cloud services.
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Design and implement a secure AWS GovCloud environment for a hybrid software factory, modernizing CI/CD, DevSecOps, and MLOps pipelines using EKS, SageMaker, and Kubernetes.
Senior Data Engineer building and modernizing FCC’s cloud-based data platform, designing pipelines and training teams on AWS tools like RedShift, Glue and Spark.
Build and deploy AI-powered systems like LLM apps and RAG pipelines for enterprise clients, integrating models into production while maintaining scalable data pipelines and MLOps workflows.
AI/ML Engineer designing and deploying GenAI, RAG, agentic frameworks, and ML models on Luma's fintech platform, using Python, ML libraries, vector databases, and optionally AWS SageMaker/Bedrock.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Develops and maintains .NET-based applications and services for a mid-sized Polish software company, focusing on backend logic, APIs, and system integration.
Designs and builds scalable cloud data platforms using Azure ML, Databricks, and Python, while leading DevOps for data pipelines and collaborating with internal teams.
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
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