At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
Consider applying here, if you want to:
Work in an entrepreneurial and dynamic environment with a chance to make an impact.
Develop lasting relationships with great people.
Have the opportunity to build a satisfying career.
We offer competitive compensation and benefits packages for our Team Members.
Staff Machine Learning & Intelligent Automation Engineer
The Enterprise Machine Learning & Intelligent Automation Staff Engineer is a senior technical team member responsible for designing, deploying, and scaling AI and ML driven solutions that directly power enterprise business initiatives. This role focuses on applying machine learning models, intelligent automation, and advanced analytics to real-world business problems, enabling smarter, faster, and more autonomous decision-making across the organization. The Staff Engineer serves as a technical authority for ML solution design, model integration, and AI automation patterns, bridging data science, data engineering, and business teams to operationalize models into production ready systems. This role emphasizes practical ML applications, AI platform enablement, and intelligent process automation rather than experimental research.
Essential Functions
Define Lead the design and delivery of end-to-end machine learning solutions that support enterprise business initiatives.
Architect scalable ML pipelines including feature engineering, model training, evaluation, deployment, and monitoring.
Translate business problems into ML-driven solution architectures with clear success metrics and outcomes.
Define reusable ML solution patterns and reference architectures for enterprise adoption.
Serve as a technical escalation point for complex ML and AI solution challenges.
Design and implement intelligent automation solutions leveraging ML models, AI services, and orchestration frameworks.
Enable AI-driven process automation, decision automation, and predictive workflows across business functions.
Integrate ML models with enterprise systems, BI platforms, APIs, and automation tools (RPA/BPA).
Identify opportunities to replace manual or rules-based processes with ML-powered automation.
Lead model operationalization practices including CI/CD for ML, versioning, monitoring, and retraining strategies.
Establish MLOps standards covering model performance, explainability, drift detection, and reliability.
Partner with platform and data engineering teams to ensure scalable, secure, and compliant ML infrastructure.
Ensure ML solutions meet enterprise standards for security, governance, and regulatory compliance.
Collaborate with data engineering teams to ensure data pipelines support ML feature generation and model consumption.
Design and maintain feature stores, training datasets, and inference data flows.
Ensure data quality, lineage, and observability for ML-critical data assets.
Guide data modeling and transformation decisions to optimize ML performance.
Serve as a Staff-level technical leader across AI, ML, automation, and data domains.
Mentor ML engineers, data scientists, and automation engineers on best practices and solution design.
Influence enterprise AI strategy, use case prioritization, and platform roadmaps.
Evaluate emerging ML, GenAI, and automation technologies for enterprise applicability.
Promote responsible AI, model transparency, and ethical AI practices.
Qualifications
Minimum Qualifications:
6+ years of experience in machine learning engineering, data science, AI engineering, or related fields.
6+ years delivering production ML solutions supporting business or operational use cases.
6+ Hands-on experience deploying and integrating ML models into enterprise systems.
*experience may include a combination of work experience and education
Preferred Qualifications:
10+ years of experience in ML engineering, AI platforms, or intelligent automation.
10+ Experience delivering AI-powered automation or decision-intelligence solutions.
10+ Experience mentoring ML or AI engineering teams.
10+ Experience working with Generative AI or large language models in applied use cases.
*experience may include a combination of work experience and education
Competencies
Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, or equivalent).
Experience operationalizing models for batch and real-time inference.
Knowledge of model evaluation, bias mitigation, and explainability techniques.
Experience building MLOps pipelines including model CI/CD, monitoring, and retraining.
Familiarity with orchestration tools, workflow automation, and RPA/BPA platforms.
Strong understanding of API-based ML integration and event-driven architectures.
Strong SQL and Python programming skills.
Experience with cloud AI/ML platforms (AWS, Azure, GCP, Databricks, Snowflake).
Understanding of data engineering fundamentals and distributed data processing.
Strong systems thinking and solution architecture capabilities.
Ability to influence AI and automation strategy across the enterprise.
Strong communication skills translating ML concepts into business value.
Demonstrated ability to mentor and lead without formal authority.
This position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success:
Lead Like an Owner
Provides strategic input and oversight to departmental projects
Skilled in reducing costs and managing timelines while prioritizing long run impact
Leads/facilitates discussions to get positive outcomes for the customer
Makes strategic and sustainable data driven decisions which prioritize the needs of the customer over departmental/individual goals
InnovACT
Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste
Creates, monitors, and responds to departmental performance metrics to drive continuous improvement
Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change
Find a Way
Demonstrates ability to think analytically and synthesize complex information
Effectively delegates technical tasks to subordinates
Works effectively with depts, vendors, and customers to achieve organizational success
Identifies opportunities for collaboration in strategic ways
Empowered to be Great
Engages in long term talent planning
Provides opportunities for the development of all direct reports
Understands, identifies, and addresses conflict within own team and between teams
Education
Minimum Required:
Bachelor's Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related field.
Preferred:
Master's Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field
Certification/License:
Required: N/A
Preferred:
Cloud AI/ML certifications (AWS, Azure, or GCP)
Databricks, Snowflake, or ML platform certifications
AI, Machine Learning, or MLOps certifications
Typical Compensation Range
Pay Rate Type: Salary
$123,641.54 - $176,189.21 / Yearly
Bonus Target: 10% Annual
Benefits
Our Total Rewards package is thoughtfully designed to support both you and your family:
Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.
Paid Time Off for holidays, sick time, and vacation time
Paid parental and caregiver leaves
Medical, including virtual care options
Dental
Vision
401(k) with company match
Health Savings Account with company match
Flexible Spending Accounts
Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
Tuition reimbursement, college savings plan and scholarship opportunities
And more!
https://careers.niagarawater.com/us/en/benefits
Los Angeles County applicants only* Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.
Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.
Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. With incredible growth over the past several years, the career possibilities at Niagara are endless!
Niagara's culture is fast-paced, innovative and intensely collaborative. Our Team Members are passionate, driven and always find a way to get the job done. We work hard and play hard while staying true to our family atmosphere.
From competitive benefits and retirement options to educational reimbursements, ongoing training courses and exciting career advancement opportunities, at Niagara we truly take care of our Team Members.
We hope that you consider joining our Niagara family!
Niagara Bottling LLC is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices.
