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Niagara Bottling

AI Developer I

Sorry, this job was removed at 02:53 p.m. (PST) on Monday, Apr 14, 2025
In-Office
Diamond Bar, CA, USA
79K-114K Annually
In-Office
Diamond Bar, CA, USA
79K-114K Annually

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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.

AI Developer I

As a key member of our team, the AI Developer I will be responsible for designing, developing, implementing, and supporting machine learning models and Gen AI Applications. Generative AI/ML Engineer is expected to combine foundational machine learning skills with a growing understanding of generative models and their applications. The ideal candidate will have strong expertise in machine learning algorithms and frameworks, a solid foundation in statistics and data modeling, and the ability to implement, monitor, and maintain models in production environments. The candidate will continuously assess and adopt new technologies, methodologies and practices to enhance data processing capabilities. This position is crucial in ensuring high-quality data operations and providing valuable insights to support the organization’s decision-making processes.

  • Design and develop algorithms for generative models using deep learning techniques.
  • Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
  • Optimize and fine-tune generative models for performance and efficiency
  • Troubleshoot and resolve issues related to generative AI models and implementations.
  • Create and maintain documentation for generative AI models and their applications.
  • Strong understanding of neural network architectures and optimization techniques.
  • Experience in deploying AI models into production environments.
  • Research and stay up to date on the latest advancements in generative AI technologies and methodologies.
  • Ensure proper configuration management and change controls are implemented
  • Work closely with offshore team(s) and participate in scrum calls
  • Participate and handle full Software Development Life Cycle (SDLC)
  • Please note that this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice

Additionally, the AI Developer I is expected to demonstrate:

  • Strong analytical and problem-solving skills with the ability to troubleshoot complex issues
  • Focus on the practical application of existing and developing new ones from scratch.
  • Emphasis on collaboration and learning from senior team members.
  • Strong desire to learn and adapt to new technologies and techniques.
  • Excellent communication and interpersonal skills to work with cross-functional teams.
  • Ability to manage multiple tasks and priorities in a fast-paced environment
  • A strong sense of ownership and accountability, promptly notifying management of any issues that affect his/her ability to accomplish planned goals

Qualifications

  • Minimum Qualifications:
    • 2-4 years  – Experience working with LLMs.
    • 2-4 years  – Experience in designing and building Gen AI applications.
    • 2-4 years  – Experience in machine learning model training and development.
    • 2-4 years – Experience with machine learning frameworks, like Sci-Kit learn, Keras, PyTorch or TensorFlow.
    • 0-2 year(s)  – Experience with Azure AI studio/Azure ML Studio.
    • 2-4 years  – Experience working with SQL and/or non-relational databases
    • 0-2 year(s)  – Experience with cloud platforms like Microsoft Azure, Google Cloud and OCI Platform
    • 2-4 years  – Hands-on experience with Azure AI services (Search, Vision, Speech, Vision, and Docs).
    • 2-4 years  – Experience with RESTful/Graph APIs.
    • 2-4 years  – Experience in building RAG (Retrieval Augmented Generation) applications
    • 0-2 year(s)  – Experience in implementing data governance, security, and AI compliance standards in Azure.

                *experience may include a combination of work experience and education

  • Preferred Qualifications:
    • 2-4 years  – Proficiency in programming languages like Python/R/Scala/Java.
    • 2-4 years  – Experience in in data analysis, machine learning model development.
    • 2-4 years  – Experience with Ability to read and understand CI/CD pipelines.
    • 2-4 years  – Experience in troubleshooting and resolving issues with ML model inferences and performance.
    • 0-2 year(s)  – Experience with Docker, Kubernetes, or Container Apps
    • 0-2 years – Experience in documenting technical workflows, findings, and best practices Required Knowledge, Skills, and Abilities.
    • 0-2 year(s)  – Experience in developing AI Agents.
    • 2-4 years  – Experience with cloud platforms like Microsoft Azure, Google Cloud and OCI Platform
    • 0-2 year(s)  – Experience with SQL, Python and Spark Framework to support complex transformations
    • 2-4 years  – Experience in software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

*experience may include a combination of work experience and education

Education

  • Minimum Required: 
    • Bachelor's Degree in Computer Science or Computer Engineering
  • Preferred: 
    • Master's Degree in Computer Science or Computer Engineering

Certification/License:

  • Required:           None Required
  • Preferred:          Gen AI, Machine Learning, Azure Cloud

Typical Compensation Range

Pay Rate Type: Salary

$78,619.75 - $113,998.64 / Yearly

Benefits

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.

HQ

Niagara Bottling Diamond Bar, California, USA Office

Our new HQ in Diamond Bar, CA is perfectly located off the 57 and 60 between Los Angeles, the Inland Empire, and Orange County. We have plenty of natural light and great food options to suit everyone. We have a branch of the LA County Library and the Diamond Bar City Hall in the same complex.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

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