Principal Architect - ML
Principal Architect - ML
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1 Vacancy
Job Description
Find your future at United! Were reinventing what our industry looks like and what an airline can be from the planes we fly to the people who fly them. When you join us youre joining a global team of 100000 connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.
Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industryleading health plans and bestinclass programs to support your emotional physical and financial wellness. Expand your horizons with travel across the worlds biggest route network. Connect outside your team through employeeled Business Resource Groups.
Create whats next with us. Lets define tomorrow together.
Uniteds Digital Technology team is comprised of many talented individuals all working together with cuttingedge technology to build the best airline in the history of aviation. Our team designs develops and maintains massively scaling technology solutions brought to life with innovative architectures data analytics and digital solutions.
Job overview and responsibilities:
United Airlines is seeking dedicated people to join the Data and Machine Learning Engineering team. The organization dedicated towards leading data driven insights & innovation to support the ML/AI needs for commercial and operational projects with a digital focus. This resource will frequently collaborate with ML engineers data scientists and data engineers. This role will build architect implement and lead key components of the Machine Learning Platform Gen AI/ML business use cases and establish efficient processes and standard methodologies.
- Build highperformance cloudnative machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
- Build and develop tools and apps to enable ML automation using AWS ecosystem
- Build data pipelines to enable Machine Learning models for batch and realtime data
- Provide outstanding handson development expertise on Spark and Flink for both real time and batch applications
- Improve and support large scale model training and serving pipelines in distributed and scalable environment.
- Stay aligned with the latest developments in cloudnative and ML ops/engineering and to experiment with and learn new technologies NumPy data science packages like scikit microservices architecture
- Perform performance evaluations of the LLM models Implement LLMOps processes to run the endtoend lifecycle of LLMs
- Build optimize finetune Generative AI/LLM models to improve performance and accuracy and deploy them
Whats needed to succeed (Minimum Qualifications):
- Bachelors degree required in Computer Science Data Science Generative AI Engineering or related subject area or Mathematics experience required
- 7 years of overall experience in machine learning deep learning and natural language processing
- Outstanding software engineering experience with Python and at least one additional language such as Go Java or C/C
- Outstanding technical leadership and efficient with data science methodologies and frameworks (e.g. PyTorch Tensorflow) and preferably building and deploying production ML pipelines
- Experience in ML model life cycle development experience and prefer experience to variety of technical common algorithms the like XGBoost CatBoost Deep Learning etc.
- Experience setting up and optimizing efficient data stores (RDBMS/NoSQL) for production use in the ML app context
- Outstanding Cloudnative DevOps CI/CD experience using variety of technical tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using ArgoCD Flux or Jenkins X
- Experience with GEN AI models such as GANs VAEs and autoregressive models
- Prompt engineering: Ability to build and craft prompts that evoke desired responses from LLMs.
- LLM evaluation: Ability to conduct performance evaluations on LLMs on a variety of tasks including accuracy fluency creativity and diversity
- LLM debugging: Ability to identify and fix errors in LLMs such as bias informative errors and logical inconsistencies
- LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
- Outstanding experience within LLMOps (Large Language Model Operations) spearhead the endtoend lifecycle of large language models
- Outstanding experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
- Must be legally authorized to work in the United States for any employer without sponsorship
What will help you propel from the pack (Preferred Qualifications):
- Masters/PhD degree in computer science or related STEM field combined with 5 additional years of experience working in cloud environments (AWS preferred) Kubernetes Dockers ECS and EKS
- Over 5 years of elevated experience with variety of technical Big Data technologies such as Spark Flink and SQL programming
United Airlines is an equal opportunity employer. United Airlines recruits employs trains compensates and promotes regardless of race religion color national origin gender identity sexual orientation physical ability age veteran status and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform crucial job functions. Please contact to request accommodation.
Required Experience:
Staff IC
Employment Type
Full-Time
