Lead AI Engineer
Honeywell
full-time
Posted on:
Location Type: Office
Location: Atlanta • United States
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Job Level
Tech Stack
About the role
- Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale.
- Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.
- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks.
- Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs.
- Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.
- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks.
- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.
Requirements
- Minimum 7 years of industry experience in writing production level, scalable code (e.g. in Python)
- Minimum 5 years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.
- Minimum 5 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
- Minimum 5 years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, genism etc.).
- Minimum 5 years of industry experience with major cloud computing services like Azure or GCP
- Minimum 1 year of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML, VertexAI
- Experience in building Agentic AI applications.
- An effective communicator – you shall be an ambassador of Honeywell’s Machine Learning engineering at external forums and can explain technical concepts to a non-technical audience.
- Minimum 2 years of technical leadership leading junior engineers in a product development setting
- Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
- Proficient Python/PySpark coding experience
- Proficient in containerization services
- Proficient in Azure ML or VertexAI to deploy the models
- Experience with working in CICD framework
- Motivation to make downstream modelers’ work smoother
- Prior experience in building data products and established a track record of innovation would be a big plus.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDeep LearningMachine LearningHyperparameter OptimizationModel TrainingModel InferenceDistributed ComputingClassificationClusteringRecommendation Systems
Soft Skills
Effective CommunicationTechnical LeadershipCollaborationProblem SolvingInnovation
Certifications
Bachelor's DegreeMaster's DegreePh.D.