Hugging Face Transformers Data Jobs

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Honeywell Atlanta, GA

Atlanta, GA

Today

Full time Ai Ml Artificial Intelligence Automation

Lead AI Engineer role at Honeywell in Atlanta, GA (hybrid) focuses on guiding machine learning engineering and delivering scalable AI solutions.

Partner with colleagues across Data Science and Data Engineering to address machine learning system challenges at scale
Use distributed training approaches to create scalable machine learning pipelines for model training and deployments in the IT/OT Products space
Design and implement solutions to improve distributed training execution, including:
- hyperparameter optimization
- training and inference latency
- system-level bottlenecks
Research and implement state-of-the-art LLM models for business use cases, including fine-tuning and serving
Maintain ML model performance, uptime, and scale with strong standards for code quality, design, and monitoring
Optimize integration between popular ML libraries and cloud ML and data processing frameworks
Build deep learning models and algorithms with optimal parallelism and performance across CPUs/GPUs

Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
6+ years of industry experience writing production-level, scalable code (e.g., Python)
5+ years in one or more ML areas: classification, clustering, optimization, recommendation systems, deep learning
5+ years with distributed computing frameworks (e.g., Spark, Kubernetes ecosystem)
5+ years with popular ML frameworks and libraries including Spark MLlib, Keras, TensorFlow, PyTorch, HuggingFace Transformers, plus libraries such as scikit-learn, spacy, genism
5+ years with major cloud computing services such as Azure or GCP
1+ year scaling Generative AI applications using frameworks such as LangChain, PGVector, Pinecone, AzureML, VertexAI
Experience building agentic AI applications
2+ years technical leadership leading junior engineers in a product development setting

Location: Atlanta, GA (hybrid)
For the first 90 days, new hires must be prepared to work 100% onsite M-F

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