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Architect and maintain enterprise-scale data platforms powering vector search, RAG, LLM, and Agentic AI for DoD and Intelligence Community clients, leading cross-functional technical decisions across infrastructure, cybersecurity, and mission teams using Python, SQL, and major cloud platforms.
Builds and validates AI models for industrial manufacturers, transforming raw plant data (time-series, sensors, downtime) into actionable insights for clients and platform integration.
Develops and deploys AI/ML models (predictive and generative) for TD Bank’s Business Banking division, solving problems like agentic AI, LLM applications, pricing, and anomaly detection to drive data-driven decision-making.
An internship supporting AI/ML workflows for Philips’ medical imaging software, focusing on data processing, model validation, and documentation to improve clinical workflows and patient outcomes.
An AI intern evaluates and benchmarks vision/agentic AI models for gaming quality assurance, builds evaluation tools, and researches emerging AI tech to improve product features.
Lead a global data science team within JPMorgan Chase's HR Data & Analytics division, building AI/ML infrastructure—model factories, evaluation factories, and agentic tools—to turn workforce data into actionable business insights.
Location: Pakistan or India (Remote) Compensation: $5.00–$9.00 USD per hour (depending on experience and qualifications) We are seeking professionals with experience in Operational Finance & Assurance (FP&A),…
The Principal Software Engineer leads the AI platform team at Parametric, designing and operationalizing generative AI solutions using LLMs, RAG, and transformer architectures. This role manages engineering staff and builds scalable, compliant platform-level services to support AI development across the organization.
The Senior Machine Learning Engineer will develop and deploy production-grade GenAI applications, including LLM-based solutions, RAG systems, and agentic workflows, to support various business lines at RBC. The role involves building scalable ML infrastructure and collaborating with cross-functional teams to deliver impactful AI solutions.
The Staff AI Engineer will design and deploy scalable AI systems for an enterprise analysis platform, focusing on LLM optimization, model training, and infrastructure. The role involves collaborating with cross-functional teams to integrate AI into banking products using technologies like AWS, PyTorch, and vector databases.
The Lead AI Engineer will design and deploy scalable GenAI platform services, including agentic AI, guardrails, and model evaluation, to enhance banking products. The role involves optimizing LLM performance and infrastructure using technologies like PyTorch, AWS, and vector databases.
Staff AI Engineer at Capital One designing, developing, and deploying AI infrastructure including foundation model training, LLM inference, guardrails, and evaluation systems using Python, AWS, PyTorch, and related ML technologies.
The Manager, Data Scientist will lead the development, productionization, and operationalization of clinical machine learning models using laboratory data. The role involves cross-functional collaboration to build robust, compliant healthcare AI products while mentoring the team on engineering standards.
Senior AI/ML Engineer defining architecture, standards, and governance for AI/ML platforms, agent frameworks, and MCP strategy within Network Intelligence at an ISP, primarily using Python, LLMs, and agentic orchestration technologies.
Design, build, connect, and operate AI tools and automated workflows—including an AI Gateway—integrating AI models with enterprise systems using DevSecOps, APIs, and cloud platforms for a government consulting firm.
About Us 🚀 Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution —…
Mid-level Data Scientist building machine learning and applied AI solutions for clients using Python, Databricks, and cloud platforms (GCP, Azure) in a remote, Americas-collaborative role.
This role involves developing and implementing Generative AI solutions within Google Ads, focusing on ML infrastructure, model optimization, and system development. Engineers will collaborate on full-stack projects, debug complex system issues, and contribute to the evolution of advertising products using large-scale AI technologies.
Product Manager leading AI enablement strategy and roadmap for KODE Labs' smart building platform, collaborating with Engineering, Data Science, Design, and Security to ship AI/ML-powered features.
The Senior Product Manager will lead the strategy and lifecycle for Google's Enterprise Data Governance initiatives, transforming data infrastructure into an AI-ready semantic engine. This role involves cross-functional collaboration to build high-integrity data products that support autonomous workflows and enterprise-wide data standards.
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