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Project Manager leading AI and data-science initiatives, including ML models on AWS and enterprise SaaS AI rollouts (ChatGPT, Slack AI, Veo 3) while coaching Agile teams and driving adoption.
Lead the design and deployment of enterprise-scale AI and data pipelines for a fintech company, using LLMs, agentic AI, and cloud services like AWS and Snowflake to automate mortgage securitization workflows.
Lead a team of data scientists to build and deploy AI/ML models, including LLMs and predictive systems, for ad-tech use cases using Python, TensorFlow/PyTorch, and cloud platforms.
Build predictive models and analytics to forecast risk and improve healthcare outcomes using Python, ML, and big-data tools for a regional health plan.
Build and scale Intel’s data infrastructure, telemetry pipelines, and analytics for Xeon server fleets using Python, Kubernetes, Azure, and CI/CD.
Build and harden the SRE and infrastructure foundations for a physical-AI platform that orchestrates high-volume data pipelines, ML training/inference, and web apps on AWS and Kubernetes.
Build and harden the DevOps infrastructure for a physical-AI platform that orchestrates high-volume ML pipelines on AWS and Kubernetes, adding observability, reliability, and CI/CD guardrails.
Lead a DevOps team to build and automate cloud, CI/CD, and AI/ML infrastructure using Kubernetes, Terraform, and MLOps pipelines for a global vehicle auction platform.
Build and deploy advanced search and recommendation models for a finance-focused GenAI platform, using NLP, embeddings, and vector databases to power financial professionals' decision-making.
Develop high-performance Triton/Gluon GPU kernels for AI models, optimizing matmul, attention, and transformer layers to maximize throughput on AMD Instinct accelerators.
Build and lead ML systems that power Toast’s restaurant-focused AI products, focusing on scalability and real-world business impact.
Build and deploy AI-powered features like RAG systems and LLM integrations for revenue teams, focusing on production-ready AI applications and user experience.
Build and deploy predictive models and AI solutions across Polaris’s business, rotating through four 6-month roles in data science, analytics, and emerging tech while developing leadership skills.
Architect secure satellite cybersecurity systems for space companies and operators, translating frameworks like NIST and CMMC into scalable, compliance-ready solutions across space, ground, and user segments.
Business Analyst at a healthcare provider: consolidates reports, performs data analysis, builds KPIs, and supports business continuity planning using tools like LEAPP and Persivia.
Build and optimize high-performance Triton/Gluon kernels for AI models on AMD GPUs, collaborating with compiler and hardware teams to maximize throughput and efficiency.
The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting and Risk Scoring, and Portfolio…
Designs AI-enabled architectures for mobility and logistics systems, leveraging generative AI, LLMs, and analytics to build scalable, secure solutions and implementation roadmaps.
Evangelize Modular’s MAX AI inference and serving platform through technical content, benchmarks, and community engagement to help developers deploy models efficiently.
Build predictive models and analytics to connect marketing spend to revenue, personalize campaigns, and guide B2B growth using Salesforce, Snowflake, Python, and SQL.
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