Hispanic Alliance for Career Enhancement
Sr Manager - Machine Learning
Hispanic Alliance for Career Enhancement, Chicago, Illinois, United States, 60290
Overview
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge 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. Responsibilities
Strategic Leadership & Platform Ownership:
Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation objectives Hands-on experience leading an ML Generative AI Own the platform roadmap, architecture decisions, and budget planning to scale AI capabilities across the enterprise Collaborate with CDO, CIO, and senior stakeholders to identify, prioritize, and fund impactful AI/GenAI investments Represent the ML Center of Excellence (COE) in cross-functional meetings and strategic planning forums Serve as the primary liaison between the COE and business units, effectively communicating technical capabilities and business impact
GenAI & LLM Strategy:
Lead initiatives around LLMs and foundation models (e.g., OpenAI, Anthropic, Hugging Face, Cohere) Design and operationalize GenAI pipelines (e.g., RAG, prompt orchestration, fine-tuning, and safety guardrails) Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance Integrate LLMs into enterprise workflows, such as copilots, document summarization, intelligent assistants, and domain-specific Q&A systems
ML Engineering & MLOps:
Design, manage, and monitor the enterprise ML engineering platform, ensuring scalability, reliability, and automation Take ownership of ML production systems with a focus on CI/CD, observability, and resilient architecture Develop robust MLOps processes to monitor model performance, detect drift, and automate retraining and validation Build and maintain tools and frameworks to govern ML models for compliance, bias, versioning, traceability, and auditability
Data Engineering & Feature Platforms:
Design and implement feature engineering and data pipelines to deliver high-quality training data and inference-ready datasets Partner with data scientists and engineers to create reusable, production-grade feature stores and pipelines Solve complex data ingestion, transformation, and governance challenges in collaboration with data platform and DataOps teams Develop integrated ML/AI solutions on enterprise analytics platforms (e.g., Palantir Foundry, Databricks)
Team Leadership & Talent Development:
Hire, mentor, and grow a high-performing ML engineering team with a focus on innovation, execution, and impact Provide technical mentorship and guidance to ML engineers and data scientists, ensuring high standards in design and implementation Promote a culture of continuous learning, experimentation, and operational excellence Building auto-scaling ML systems
ML Engineering & MLOps:
MLflow, KServe, SageMaker, Vertex AI, Databricks, etc.
GenAI
LLM providers (OpenAI, Anthropic), Hugging Face, LangChain/LlamaIndex
Data Infra:
Spark, Kafka, Delta Lake, etc.
DevOps:
Kubernetes, Jenkins, GitOps, Terraform
Qualifications
What's needed to succeed (Minimum Qualifications): Bachelor's degree in Computer Science, Data Science, Engineering or a relevant field 7+ years of relevant experience Experience leading ML Ops teams Gen AI technology experience Understanding of architecture and relevant tools like PySpark, MLflow, LangChain, AWS, or etc. Must be legally authorized to work in the United States for any employer without sponsorship Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): 9+ years preferred Experienced in platform and platform enablement. ML pipeline creation, management, feature engineering 5+ years of software development experience 2+ years of GenAI experience Compensation & Benefits
The base pay range for this role is $143,450.00 to $186,778.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. Equal Opportunity
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. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. 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 JobAccommodations@united.com to request accommodation.
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Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge 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. Responsibilities
Strategic Leadership & Platform Ownership:
Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation objectives Hands-on experience leading an ML Generative AI Own the platform roadmap, architecture decisions, and budget planning to scale AI capabilities across the enterprise Collaborate with CDO, CIO, and senior stakeholders to identify, prioritize, and fund impactful AI/GenAI investments Represent the ML Center of Excellence (COE) in cross-functional meetings and strategic planning forums Serve as the primary liaison between the COE and business units, effectively communicating technical capabilities and business impact
GenAI & LLM Strategy:
Lead initiatives around LLMs and foundation models (e.g., OpenAI, Anthropic, Hugging Face, Cohere) Design and operationalize GenAI pipelines (e.g., RAG, prompt orchestration, fine-tuning, and safety guardrails) Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance Integrate LLMs into enterprise workflows, such as copilots, document summarization, intelligent assistants, and domain-specific Q&A systems
ML Engineering & MLOps:
Design, manage, and monitor the enterprise ML engineering platform, ensuring scalability, reliability, and automation Take ownership of ML production systems with a focus on CI/CD, observability, and resilient architecture Develop robust MLOps processes to monitor model performance, detect drift, and automate retraining and validation Build and maintain tools and frameworks to govern ML models for compliance, bias, versioning, traceability, and auditability
Data Engineering & Feature Platforms:
Design and implement feature engineering and data pipelines to deliver high-quality training data and inference-ready datasets Partner with data scientists and engineers to create reusable, production-grade feature stores and pipelines Solve complex data ingestion, transformation, and governance challenges in collaboration with data platform and DataOps teams Develop integrated ML/AI solutions on enterprise analytics platforms (e.g., Palantir Foundry, Databricks)
Team Leadership & Talent Development:
Hire, mentor, and grow a high-performing ML engineering team with a focus on innovation, execution, and impact Provide technical mentorship and guidance to ML engineers and data scientists, ensuring high standards in design and implementation Promote a culture of continuous learning, experimentation, and operational excellence Building auto-scaling ML systems
ML Engineering & MLOps:
MLflow, KServe, SageMaker, Vertex AI, Databricks, etc.
GenAI
LLM providers (OpenAI, Anthropic), Hugging Face, LangChain/LlamaIndex
Data Infra:
Spark, Kafka, Delta Lake, etc.
DevOps:
Kubernetes, Jenkins, GitOps, Terraform
Qualifications
What's needed to succeed (Minimum Qualifications): Bachelor's degree in Computer Science, Data Science, Engineering or a relevant field 7+ years of relevant experience Experience leading ML Ops teams Gen AI technology experience Understanding of architecture and relevant tools like PySpark, MLflow, LangChain, AWS, or etc. Must be legally authorized to work in the United States for any employer without sponsorship Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): 9+ years preferred Experienced in platform and platform enablement. ML pipeline creation, management, feature engineering 5+ years of software development experience 2+ years of GenAI experience Compensation & Benefits
The base pay range for this role is $143,450.00 to $186,778.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. Equal Opportunity
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. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. 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 JobAccommodations@united.com to request accommodation.
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