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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 and deployment of AI/ML models and advanced analytics to solve business challenges, mentor a data-science team, and drive enterprise-wide AI adoption.
Design and maintain MLOps workflows for AI/ML and GenAI solutions, ensuring model reliability, performance, and governance in a production environment.
Build and scale a cloud-native AI platform using Kubernetes/OpenShift, integrating RAG pipelines, model serving, and AI agent orchestration to support enterprise-scale AI workloads.
Build and optimize a locally hosted AI platform, deploying and running GPU-powered models, tuning inference pipelines, and integrating AI into internal tools.
Build and refine NLP models and generative AI systems that understand human language, from classic ML to LLMs and RAG pipelines, while collaborating with cross-functional teams to deploy solutions in production.
Lead the design and evolution of AI and data platforms using Kubernetes, microservices, and MLOps tooling to build scalable, production-grade systems.
Build and automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
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 scale MLOps infrastructure for AI/ML pipelines, including CI/CD, model training/inference, and monitoring to improve AI model deployment velocity.
Builds and maintains data pipelines, feature repositories, and ML model deployments using Python, SQL, PySpark, and MLOps tools to support data science teams in production environments.
Build and lead AI solutions using LLMs, RAG, and agents; design scalable pipelines and mentor junior data scientists in a hybrid role.
Build and maintain the infrastructure that powers large-scale AI platforms, including RAG systems, APIs, and MLOps, across AWS GovCloud, on-prem, and multi-cloud environments.
Design and enforce security controls for AI platforms, LLMs, and GenAI workflows, performing threat modeling and architecture reviews to mitigate risks like prompt injection and data leakage.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases, while aligning with business objectives and compliance standards.
Lead a modern data platform using Medallion architecture, pipelines, and Microsoft Fabric to build scalable, open-source solutions that track and analyze global aid spending for sustainable development.
Senior role building scalable data pipelines, semantic layers, and automated analytics for a major bank using Python, SQL, and distributed systems.
We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our…
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