Add office photos
All Filters
4 United Airlines Senior Engineer Jobs
Senior Engineer - Machine Learning
United Airlines
posted 22d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will d esign and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
You will design and develop tools and apps to enable ML automation using AWS ecosystem.
Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications.
Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies NumPy, data science packages like sci-kit, microservices architecture.
Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them.
Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
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.
Qualifications Required
Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
4 + years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++
3 + years of experience in machine learning, deep learning, and natural language processing.
2 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
2 + years of experience with Big Data technologies such as Spark, Flink and SQLprogramming
2 + years of experience with cloud-native DevOps, CI/CD.
Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
Familiarity with data science methodologies and frameworks (eg, PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context.
Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X.
Experience with generative models such as GANs, VAEs, and autoregressive models.
Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs.
LLM evaluation: Ability to evaluate the performance of 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, factual errors, and logical inconsistencies.
LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure.
Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models.
Preferred
Computer Science or related STEM field
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Engineer roles with real interview advice
People are getting interviews at United Airlines through
People are getting interviews through
(based on 15 United Airlines interviews)
Job Portal
Company Website
Referral
Campus Placement
27%
26%
13%
7%
27% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What Senior Engineer at United Airlines are saying
Senior Engineer salary at United Airlines
reported by
3
employees
with 4-18
years exp.
₹23
L/yr - ₹28
L/yr
184%
more
than the average Senior Engineer Salary in India
View more details
What United Airlines employees are saying about work life
based on 61 employees
Flexible timing
Monday to Friday
No travel
Day Shift
United Airlines Benefits
View more benefits
Compare United Airlines with
Air India
Compare
InterGlobe Aviation
Compare
Spicejet
Compare
Vistara
Compare
Go First
Compare
Jet Airways
Compare
AirAsia
Compare
Air India Express
Compare
Alliance Air
Compare
TruJet
Compare
Air India Sats Airport Services
Compare
Qatar Airways
Compare
Boeing
Compare
Celebi Aviation Holding
Compare
GMR Hyderabad International Airport
Compare
Bird Worldwide Flight Services
Compare
GE Aviation
Compare
Dnata
Compare
Emirates Airlines
Compare
British Airways
Compare
Similar Jobs for you
Senior Engineer - Data Operations
4-6 Yrs
Bangalore Rural, Gurgaon / Gurugram
Share an Interview