Tag: Intelligence

Company: Universal Parks & Resorts

Location: Orlando, FL

Expected salary:

Job date: Sun, 13 Jul 2025 03:22:13 GMT

Job description:

Job Description: Machine Learning Infrastructure Engineer

Overview:
We are seeking a proactive and detail-oriented Machine Learning Infrastructure Engineer to join our dynamic Digital & Technology Teams. This role focuses on establishing scalable machine learning infrastructures, developing data pipelines, and implementing robust deployment frameworks. As a key player in our organization, you will collaborate with cross-functional teams and enterprise stakeholders, including senior leadership and partners.

Key Responsibilities:

• Scalable ML Infrastructure: Design and implement scalable machine learning systems to support our growing data needs and model deployment requirements.

• Data Pipelines: Develop and maintain efficient data pipelines to ensure seamless data flow and real-time data processing that meets the demands of various internal teams.

• Deployment Frameworks: Create and optimize robust deployment frameworks to ensure that machine learning models can be easily integrated and utilized across platforms.

• Cross-Functional Collaboration: Work closely with teams across Product, Marketing, and other departments to understand their machine learning needs and drive innovative solutions.

• Stakeholder Engagement: Engage with enterprise stakeholders to align machine learning initiatives with business objectives, providing insights to facilitate decision making and prioritization.

• Best Practices: Advocate for the adoption of best practices in machine learning, data engineering, and software development across the organization.

• Leadership Support: Provide technical support and insights to senior leadership to ensure alignment with the company’s strategic goals and vision.

Qualifications:

• Proven experience in machine learning infrastructure, data engineering, or related fields.
• Proficiency in programming languages such as Python or Java and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Strong analytical skills and the ability to work with large datasets.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• A collaborative mindset with experience working in cross-functional teams.

What We Offer:

• A dynamic work environment where innovation is encouraged.
• Opportunities for professional development and continuous learning.
• A diverse and inclusive workplace culture.
• Competitive salary and benefits package.

Join us to help shape the future of our machine learning capabilities and make a significant impact across the organization!

Company: Universal Parks & Resorts

Location: Orlando, FL

Expected salary:

Job date: Sun, 13 Jul 2025 04:39:33 GMT

Job description:

Job Description: Machine Learning Infrastructure Architect

We are seeking a dynamic and experienced Machine Learning Infrastructure Architect to join our Digital & Technology Teams. In this critical role, you will be responsible for establishing scalable machine learning infrastructures, developing data pipelines, and creating robust deployment frameworks that enable seamless integration of ML solutions across the organization.

Key Responsibilities:

• Design and Implement ML Infrastructures: Work closely with cross-functional teams to develop scalable architectures that support machine learning initiatives.
• Develop Data Pipelines: Create efficient data pipelines to facilitate the collection, processing, and analysis of large data sets, ensuring data integrity and accessibility.
• Framework Deployment: Establish and maintain robust deployment frameworks to streamline the integration of machine learning models into production environments.
• Collaboration with Stakeholders: Partner with enterprise stakeholders, including senior leadership and external partners, to align ML strategies with business objectives.
• Cross-Functional Team Coordination: Collaborate with Product, Marketing, and other departments to ensure that ML applications meet user needs and drive organizational goals.
• Continuous Improvement: Stay abreast of industry trends and advancements in machine learning technologies to continually enhance our infrastructure and deployment practices.

Qualifications:

• Proven experience in machine learning infrastructure design and implementation.
• Strong expertise in data engineering, pipeline development, and model deployment.
• Excellent communication skills to effectively liaise with both technical teams and non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Join us to leverage your expertise in building scalable solutions that drive innovation and efficiency, and help us harness the full potential of our data.

Company: Universal Parks & Resorts

Location: Orlando, FL

Expected salary:

Job date: Sun, 13 Jul 2025 06:54:08 GMT

Job description:

Job Title: Machine Learning Infrastructure Engineer

Job Description:

We are seeking a skilled Machine Learning Infrastructure Engineer to join our Digital & Technology Teams. In this role, you will be pivotal in establishing scalable machine learning infrastructures, developing data pipelines, and creating robust deployment frameworks that facilitate the seamless integration of machine learning models into our products and services.

Key Responsibilities:

• Collaborate with cross-functional teams, including Product, Marketing, and Enterprise stakeholders, to understand requirements and translate them into scalable solutions.
• Design and implement scalable ML infrastructures that support diverse machine learning applications.
• Build and maintain data pipelines to ensure efficient data processing and model training workflows.
• Develop and optimize robust deployment frameworks for machine learning models, ensuring reliability and performance in production environments.
• Work closely with senior leadership and partners to align ML strategies with business goals and technical capabilities.
• Monitor and improve the performance of ML systems, ensuring they meet both technical and business requirements.

Qualifications:

• Proven experience in machine learning infrastructure development and deployment.
• Strong understanding of data pipeline architectures and best practices.
• Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and a collaborative work ethic, with the ability to communicate technical concepts to non-technical stakeholders.
• Strong analytical skills and experience with data management and processing tools.

Join us in shaping the future of our digital products through innovative machine learning solutions. If you are passionate about technology and eager to make a significant impact, we would love to hear from you!

Company: Universal Parks & Resorts

Location: Orlando, FL

Expected salary:

Job date: Sun, 13 Jul 2025 05:27:13 GMT

Job description:

Job Description: Machine Learning Infrastructure Engineer

Overview:
We are seeking a talented Machine Learning Infrastructure Engineer to join our dynamic Digital and Technology Teams. In this role, you will play a pivotal part in building scalable machine learning (ML) infrastructures, developing efficient data pipelines, and establishing robust deployment frameworks. Your efforts will directly contribute to enhancing our enterprise capabilities and will be essential in driving data-driven decision-making across the organization.

Key Responsibilities:

• Infrastructure Development: Design, implement, and maintain scalable ML infrastructures that support various business needs.

• Data Pipeline Creation: Develop and optimize data pipelines to ensure the smooth flow of data from various sources to ML models and applications.

• Deployment Frameworks: Establish and refine deployment frameworks that ensure seamless integration of ML models into production environments.

• Collaboration: Work closely with cross-functional teams, including Product Management, Marketing, and Analytics, to identify requirements and deliver solutions that meet their needs.

• Stakeholder Engagement: Collaborate with enterprise stakeholders, including senior leadership and external partners, to align on project goals and communicate progress effectively.

• Best Practices: Advocate for and implement best practices in data management, ML model deployment, and lifecycle management.

• Continuous Improvement: Stay abreast of industry trends and emerging technologies, recommending enhancements to existing systems and processes.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience in building scalable ML infrastructures and data pipelines.
• Strong understanding of ML frameworks and technologies (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages (e.g., Python, Java, or similar).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and a collaborative mindset.
• Strong communication skills to effectively engage with technical and non-technical stakeholders.

Why Join Us?
Be part of a forward-thinking organization that values innovation, collaboration, and continuous learning. You’ll have the chance to make a significant impact on our digital transformation journey while working with a talented team in a supportive environment.

Apply Today! If you’re ready to take the next step in your career and contribute to cutting-edge projects in machine learning and data infrastructure, we want to hear from you!

Company: Universal Parks & Resorts

Location: Orlando, FL

Expected salary:

Job date: Sun, 13 Jul 2025 06:10:53 GMT

Job description:

Job Title: Machine Learning Infrastructure Engineer

Job Description:

We are seeking a talented Machine Learning Infrastructure Engineer to join our dynamic Digital & Technology Teams. In this pivotal role, you will be responsible for establishing scalable machine learning infrastructures, data pipelines, and robust deployment frameworks that empower our organization to leverage data effectively.

Responsibilities:

• Infrastructure Development: Design and implement scalable ML infrastructure to support diverse machine learning projects across the organization.
• Data Pipeline Creation: Build and maintain efficient data pipelines to ensure seamless data flow from various sources to ML models, enabling real-time analytics and insights.
• Cross-Functional Collaboration: Work closely with Product, Marketing, and other teams to understand their needs and translate them into actionable ML solutions.
• Stakeholder Engagement: Collaborate with enterprise stakeholders, including senior leadership and external partners, to align ML initiatives with business objectives and strategy.
• Best Practices Implementation: Establish and promote best practices for ML model deployment and infrastructure management, ensuring security, reliability, and scalability.
• Continuous Improvement: Stay current with emerging technologies and methodologies in machine learning and data engineering, implementing relevant innovations to enhance our infrastructure.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degree preferred.
• Proven experience in building scalable ML infrastructures and data pipelines.
• Proficiency in programming languages such as Python, Java, or Scala, as well as experience with frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Strong problem-solving skills and the ability to work collaboratively in diverse teams.
• Excellent communication skills, with the ability to present complex technical concepts to a non-technical audience.

Join our innovative team and take the lead in transforming our data capabilities while driving impactful business outcomes. We look forward to seeing how you can contribute to our mission!