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The Data Scientist Consultant will analyze complex, unstructured data to build and deploy machine learning models and AI-driven solutions for clients. The role focuses on leveraging Python, SQL, and modern AI frameworks like LLMs and RAG patterns to create actionable business insights.
The Data Engineer will build and maintain scalable data pipelines for telemetry data while developing AI-enabled solutions using LLMs and RAG. This role involves collaborating with cross-functional teams to improve data accessibility and operational insights for mission-critical facility systems.
AI Engineer shaping and advancing enterprise AI platforms, tools, and architectures at a financial services firm—leading POCs, evaluating emerging AI technologies, and guiding standards using AWS, MLOps, vector databases, and RAG frameworks.
Staff Engineer leading an applied AI team to take models from prototype to production across restaurant operations, digital ordering, and supply chain using Python, ML frameworks (PyTorch/TensorFlow), LLMs, AWS SageMaker/Bedrock, and modern data platforms.
The Generative AI Architect will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for strategic clients. This role involves hands-on solutioning, executive-level strategy, and practice-building leadership across various industries.
The Lead Data Engineer will design and manage scalable data ingestion and integration pipelines to support AI, machine learning, and Generative AI initiatives at BMO. This role involves leading cross-functional teams to build AI-ready datasets and RAG solutions while ensuring data governance and security in a highly regulated environment.
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
The AI Engineer will design and build agentic workflows and RAG pipelines to automate business processes using LLMs. This role focuses on orchestration, tool integration, and system evaluation rather than model training.
Lead enterprise red team and AI adversarial testing programs at MUFG, executing advanced attack simulations across network, cloud, and AI/LLM environments while mentoring operators and translating findings into risk-reduction actions.
As a Manager in Tax Innovation, you will lead multidisciplinary teams to design, develop, and deploy scalable AI and Generative AI solutions for tax practice operations. The role involves utilizing foundation models, agentic systems, and modern software engineering practices to deliver secure, production-ready AI applications.
The Product Manager will own the strategy, roadmap, and delivery of enterprise platforms, utilizing Agile methodologies and AI-assisted tools. The role involves collaborating with cross-functional teams to manage the product lifecycle, from defining vision to tracking delivery metrics.
The Senior Data Scientist will develop and deploy automated analytics products, including machine learning and generative AI models, to solve complex business problems in the healthcare sector. The role involves end-to-end data science workflows, from data preparation to production deployment, while ensuring model governance and responsible AI practices.
Lead AI/ML technical architect responsible for designing, developing, and deploying AI/ML models and systems for CMS, with hands-on development using Python, TensorFlow/PyTorch, and AWS, while ensuring cybersecurity and data governance compliance.
AI Software Engineer at AT&T designing, building, and maintaining data-driven solutions spanning systems integration, data pipelines, AI/ML enablement, and dashboards using Python/Java/C#/JS, SQL, APIs, and BI tools.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
The Product Manager will own the strategy, roadmap, and delivery of enterprise platforms, utilizing Agile methodologies and AI-assisted tools. The role involves managing the product lifecycle, collaborating with cross-functional teams, and leveraging cloud-native technologies.
Designs and validates AI-enabled marketing workflow architectures at HPE, bridging marketing operations with AI/ML engineering teams. Works with LLMs, RAG, generative AI, and cloud platforms to integrate AI into MarTech stacks.
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
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