Senior Advanced AI Engineer

Innovate to solve the world's most important challenges

KEY RESPONSIBILITIES:

• 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.

YOU MUST HAVE

• MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
• 5+ years of industry experience with Python in a programming intensive role.
• 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning.
• 5+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
• 5+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.).
• 3+ years of industry experience with major cloud computing services.
• Background or experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, AzureML.
• Experience with Prompt Engineering in Agent orchestration framework.
• Prior experience in building data products and established a track record of innovation would be a big plus.
• 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.

WE VALUE

• Proficient Python/PySpark coding experience
• Proficient in containerization services, deploying real time inference models
• Familiarity with developing LLM based Applications
• Experience with working in CICD framework

Additional Information

• Category: Engineering
• Location: USA
• Exempt

Engineering (GLOBAL)