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Build and maintain scalable speech-to-text pipelines using deep learning for a contact-center AI platform, focusing on ASR, transcription, and diarization.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Analyze customer-interaction data to drive AI model improvements, prompt engineering, and automation pipelines for an AI-native SaaS platform.
About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Build revenue forecasts and marketing mix models for a pharma client using Python, ML, and epidemiology data to guide investment decisions.
Deploys and fine-tunes large language models for enterprise clients, bridging research and production while guiding customers through AI adoption and complex GenAI use cases.
Build and deploy generative AI applications with customers, collaborating with researchers and engineers to solve complex technical challenges using Python, PyTorch, and MLOps.
Build and deploy custom GenAI solutions for enterprise clients, guiding them from pre-sale through production integration of Mistral’s LLMs and APIs.
Build and deploy enterprise-grade GenAI solutions with clients in finance, healthcare, and defense, fine-tuning LLMs and integrating them into production systems.
Build and scale ML systems for search, recommendations, and LLM-powered assistants that help teachers plan lessons and personalize learning in K–12 education.
Build production-grade ML systems that detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Lead AI and data science for a grocery retailer’s supply chain, building forecasting, inventory optimization, and agentic AI systems to reduce waste and out-of-stocks.
Lead AI-driven supply chain and store execution systems, building forecasting, inventory optimization, and agentic AI models to minimize waste and out-of-stocks in a large retail ecosystem.
Lead AI and data-science strategy for a grocery retailer’s supply-chain and store-execution platforms, building forecasting, optimization, and agentic-AI systems to cut waste and out-of-stocks.
Senior Staff Data Scientist builds AI-driven labor forecasting and optimization systems using time series models, LLMs, and agentic workflows to dynamically schedule staff across 2,200+ stores.
Leads AI/ML architecture and team for Albertsons’ supply chain and store execution, designing forecasting, replenishment, and agentic AI systems to optimize retail operations at scale.
Builds and deploys ML models (regression, clustering, classification) on large datasets using Azure Databricks and PySpark to generate business insights and product features for Zebra’s smart solutions.
Develop and optimize computer vision algorithms (object detection, OCR, 3D processing) from prototypes into production-ready C++/Python code for embedded and mobile hardware.
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