Lead AI Engineer

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

Responsibilities

• 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

Requirements

• 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

Technologies

• Python
• PySpark, Spark, Spark MLlib
• Kubernetes
• Keras, TensorFlow, PyTorch
• HuggingFace Transformers
• scikit-learn, spacy, genism
• Azure, GCP
• LangChain, PGVector, Pinecone
• AzureML, VertexAI
• Azure ML
• CICD, Docker, containerization

Benefits

• Employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays

Hybrid work schedule

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