Ml Inference Jobs in Houston, TX (NOW HIRING)

... inference - into robust, production-grade architectures that drive automation and intelligent workflow optimization. * Traditional ML: Solid foundation in classical machine learning algorithms ...

... inference Qualifications: 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS. Good understanding of Apache SOLR. Proficient with Linux administration.

This role requires a technical expert who can develop, deploy, and maintain ML systems in ... Strong foundation in statistics, A/B testing, causal inference, and experimental design ...

Architecting scalable AI and ML pipelines from experimentation through production deployment * Developing and optimizing models through fine-tuning, prompt engineering, and inference optimization

By combining these innovations with advanced statistical approaches such as Bayesian inference, the ... premier ML conferences 3. Strong communication, writing, and collaboration ability. Ability to ...

By combining these innovations with advanced statistical approaches such as Bayesian inference, the ... premier ML conferences 3. Strong communication, writing, and collaboration ability. Ability to ...

By combining these innovations with advanced statistical approaches such as Bayesian inference, the ... premier ML conferences 3. Strong communication, writing, and collaboration ability. Ability to ...

By combining these innovations with advanced statistical approaches such as Bayesian inference, the ... premier ML conferences 3. Strong communication, writing, and collaboration ability. Ability to ...

... complex ML Systems. * 5+ years of dedicated, hands-on experience architecting production-level ... inference. * Programming & Core Infrastructure: Elite coding skills in Python, Scala, or Java.

Familiarity with ML fundamentals: feature engineering, model training pipelines, inference patterns, and vector/embedding-based retrieval * Practical experience with agentic AI or generative AI ...

... AI/ML use cases Partners with the Innovation team to support model development and deployment Enables feature engineering, training datasets, and inference pipelines Data Integration ...

Implement data pipelines to support training and inference needs across diverse data types ... of experience in AI/ML engineering, with demonstrated success in production AI systems.

This role bridges the gap between theoretical AI/ML models and production-ready applications ... Implement data pipelines to support training and inference needs across diverse data types ...

This role bridges the gap between theoretical AI/ML models and production-ready applications ... Implement data pipelines to support training and inference needs across diverse data types ...

Experience running local or on-device inference on NPUs and accelerators (Windows ML/DirectML, OpenVINO, TensorRT, CoreML, or vendor NPU toolchains). * Experience with computer vision - object ...

Experience running local or on-device inference on NPUs and accelerators (Windows ML/DirectML, OpenVINO, TensorRT, CoreML, or vendor NPU toolchains). * Experience with computer vision - object ...

Familiarity with AI/ML concepts in recruiting , such as skills inference and matching. * Strong understanding of end-to-end recruiting processes and how technology enables them. * Demonstrated ...

Familiarity with AI/ML concepts in recruiting , such as skills inference and matching. * Strong understanding of end-to-end recruiting processes and how technology enables them. * Demonstrated ...

Ensure AI models, agents, prompts, data, and inference pipelines are secure, privacy-aware ... Partner closely with Product Management, Security, Privacy, AI/ML, and Engineering teams to deliver ...

Research and assess next‑generation technologies for inference, predictive modeling ... Experience applying AI/ML, optimization, and decision science to oilfield, drilling, completion ...