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Build and maintain the automated infrastructure that deploys, monitors, and scales machine-learning models for a large online betting platform.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Position: Technical Coach Location: Fort Worth, Texas Duration: Contract Job ID: 178612 Job Overview: We are seeking a highly skilled and experienced Technical Coach to join our team in Fort Worth, Texas. This role…
Build and deploy cutting-edge LLM-based conversational AI models that provide real-time coaching for call-center agents, using Python, PyTorch, and cloud-native pipelines.
Build AI agents and tools using LLMs, prompt engineering, and RAG to create applications that enhance critical thinking and societal impact.
Elevate machine learning capabilities as a Senior DevOps Engineer responsible for developing automated pipelines. Collaborate with scientists and engineers to streamline data processes. This role is targeted at…
Build and deploy AI systems that power Sigma’s analytics platform, including recommendations, natural language interfaces, and agentic workflows for enterprise data exploration.
Build and deploy AI/ML systems that power Sigma’s analytics platform, enabling users to explore data, build apps, and automate workflows with natural language and agentic tools.
Principal ML Engineer builds and owns recommendation/search personalization systems for a fitness platform, driving relevance through experimentation and scaling privacy-first ML infrastructure.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
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.
Leads the design and scaling of ML infrastructure and systems for a cloud-native automotive platform, productionizing models and setting engineering standards across the organization.
Build and evaluate ML systems using AI coding agents like Cursor or Claude Code, reviewing model-generated implementations for bugs and performance in production ML/AI workflows.
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
Research and prototype AI/ML-driven analytics to speed up high-fidelity simulations, using PyTorch/TensorFlow and optimization techniques in a Linux-based environment.
Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Lead the design and implementation of computer-vision and autonomous-navigation algorithms, from architecture through testing and deployment, while mentoring junior engineers.
Designs and deploys computer-vision algorithms for object detection, tracking, and 6DoF pose estimation in autonomous-navigation systems.
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