Job Information
United Airlines Senior Manager - Machine Learning in Chicago, Illinois
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Technology/IT
The United IT team designs, develops and maintains massively scaling technology solutions that are brought to life with innovative architectures, data analytics and digital solutions.
Job overview and responsibilities
We are looking for a Senior Manager, ML Engineering & Data Operations to join United Data Engineering team. This role would be part of a team that is responsible for enterprise-wide ML Engineering and Platform environment. In addition to requiring a high level of technical expertise in building enterprise wide big data infrastructure, you will work closely with peer business teams & Analytics team to innovate around business processes. Ideal candidates will have expertise in all phases of data & software lifecycle management processes.
This opportunity is a great fit for someone with proven leadership experience in ML Engineering and operations, and provides a venue to develop new skills in enterprise cloud and data platforms such as Amazon Web Services (AWS), Palantir Foundry and help evolve ML Practice.
As a senior manager, you will play a key role leading a team of ML Engineers who will look to you for advice on technical and business challenges. You will guide the team and insist on highest standards for quality, maintainability, and performance. You will ensure that ML Ops best practices are followed and will be responsible to build the ML Platform to deploy and monitor ML models for the enterprise. This role also includes working with DataOps and Data Engineering development team. You will set the strategic direction as well as own and prioritize goals for your team. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and build great teams around themselves.
Additional responsibilities include but are not limited to the following:
Design and Manage, Monitor, ML Engineering platform to support enterprise needs
Design and implement Feature Engineering/data engineering pipelines and develop solutions including applications to deliver inferencing outcomes or curated data layer/datasets for consuming applications
Develop systems, tools, & processes to monitor ML models in production, monitoring drift and performance and initiating retraining and validation as necessary
Establish scalable, efficient, and automated processes for large scale ML model deployments
Develop solutions on Analytics platform ( like Palantir Foundry) and work closely with Data Science,Data Engineering and DataOps teams to deploy ML apps ad other intergration
Develop systems, tools, & processes to govern ML models for compliance, bias, versioning, traceability and auditability
Recommend and drive architecture/infrastructure to create actionable, meaningful, and scalable solutions for business problems
Required
Bachelor's Degree (or higher) in Computer Science, Data Science, Engineering or related discipline or Mathematics experience
12+ years of experience in managing technical teams and projects
4+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
4 + years in software development in Python, C++ and infrastructure development
4+ Years of Experience with Machine Learning and Machine Learning workflows
Knowledge of common machine learning frameworks–Torch, Tensorflow,Sci-kit
Knowledge of major cloud computing services – AWS
Experience with on-prem distributed computing services – OpenShift, Hadoop
Knowledge of devOps – Continuous Integration, Continuous Deployment
Experience with HPC – CUDAExperience building auto-scaling ML systems
Experience in Distributed computing, Data pipelines, and AI/ML
Experience setting up and optimizing databases for production usage for ML app context as feature store and model monitoring
Experience in Kubernetes, Jenkins, GITOps
Experience in Spark, Kafka, HDFS, Cassandra
Strong Python, Scripting Experience, Jupyter notebooks
Experience with Feature engineering, text classification, and time series prediction and other ML frameworks
Strong verbal and written communication skills, including the ability to interact effectively with colleagues of varying technical and non-technical abilities
Experience in Data Science Model Deployment & Support/ Maintenance
Experience with database systems including Redshift, MS SQL Server,Oracle, Tearadata, BigQuery, Postgres
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualifications
Reliable, punctual attendance is an essential function of the position
Preferred
- AWS Cerified Machine Learning
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Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT
Division: 47 Technology/IT
Function: Information Technology
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled
