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Senior Data Scientist applying ML and generative AI to detect and prevent fraud, waste, and abuse in Medicare/Medicaid claims, using Python, SQL, Databricks/Snowflake/Spark, and GenAI tools like LangChain and vector databases.
AI Engineer Intern supporting the development of LLM-powered applications, RAG solutions, and chatbots using Python and AI frameworks like LangChain at a financial services software company.
Builds and maintains AI-powered integrations and APIs in Python on AWS, enabling enterprise systems to work with AI agents while enforcing security and data access controls.
The Lead AI Engineer will design, build, and scale production-grade AI and Generative AI solutions within the insurance platform using AWS services. This hands-on role focuses on operationalizing AI models, developing RAG pipelines, and implementing MLOps practices in a regulated environment.
The Lead Data Engineer will lead complex data engineering projects, building AI-enabled data platforms and pipelines on AWS for diverse clients. The role involves managing teams, mentoring junior staff, and implementing data foundations for machine learning and Generative AI solutions.
The Localization QA Tester ensures the linguistic accuracy, cultural relevance, and functional quality of localized content for Norwegian-speaking users. The role involves executing test cycles, reporting bugs, and collaborating with cross-functional teams to maintain high standards across various platforms.
The AI Architect leads the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions on the Azure platform. This role involves defining AI roadmaps, architecting intelligent systems, and guiding multidisciplinary teams to drive business value for clients.
Senior Solution Architect designing secure, scalable AI and cloud solutions for State Street's AML Compliance Technology team, working with AWS, Databricks, generative/agentic AI, and cloud-native application development.
Who we are looking for: We are looking for a self-motivated, hands-on Cloud AI / Agentic AI Developer to join State Street’s AML Transformation Program. The candidate will work closely with technical and business teams…
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
An AI Forward Deployed Engineer embedding with enterprise clients to build production-grade applications on proprietary foundation models, involving RAG pipelines, model fine-tuning, agentic workflows, and inference optimization using Python, PyTorch, vector databases, and cloud infra.
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
Position Overview Senior ServiceNow Developer works with ServiceNow Architectto lead the technical evolution of our enterprise platform. This is not just a"maintenance" role; the practitioner needs to…
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
The Senior Applied AI Engineer/Scientist will lead semantic layer and knowledge intelligence initiatives for Amazon's Central Reliability Maintenance Engineering team. The role involves designing and deploying graph-based AI solutions, integrating LLMs, and building ontological foundations to support autonomous workflows and operational excellence.
We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud. Key Responsibilities Develop…
Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
Architect and build scalable ML data pipelines, tooling, and active learning systems that transform petabyte-scale autonomy data into training signals for self-driving AI models, using C++ and Python.
Designs and oversees a modern, enterprise-scale data platform for TD’s Global Transaction Banking, focusing on real-time pipelines, AI-ready foundations, and data products. Defines architecture for data ingestion, processing (Spark/Flink), storage, governance, and APIs while ensuring scalability, cost optimization, and regulatory compliance.
Leads hands-on development of agentic AI applications, including multi-agent workflows and RAG pipelines, while mentoring engineers and aligning AI systems with business goals using cloud platforms and LLM integration.
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