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Flexible Java Machine Learning Jobs in Arizona (NOW HIRING)

Pyramid Consulting, Inc

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

... machine learning fundamentals and model telemetry. Qualifications : Required : • Good ... Java, Spring, Kafka, Springboot, Microservices, REST API. • 6-8 years of strong experience in ...

IntraEdge

Sr. Java Engineer

Scottsdale, AZ

$124K - $164K/yr

Design, develop, and maintain scalable Java/Spring Boot microservices and REST APIs. * Build and ... Experience with Big Data technologies (Spark, Hadoop, Hive) and Machine Learning frameworks is a ...

IntraEdge

Sr. Java Engineer

Scottsdale, AZ

$124K - $164K/yr

Design, develop, and maintain scalable Java/Spring Boot microservices and REST APIs. * Build and ... Experience with Big Data technologies (Spark, Hadoop, Hive) and Machine Learning frameworks is a ...

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Flexible Java Machine Learning information

What is the difference between Flexible Java Machine Learning vs Java Data Scientist?

AspectFlexible Java Machine LearningJava Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Java programming skills; Machine Learning certificationsBachelor's or higher in Data Science, Statistics, or related; Java programming skills; Data analysis certifications
Work EnvironmentSoftware development teams, AI/ML projects, tech companiesData analysis teams, research labs, analytics departments
Employer & Industry UsageTech firms, startups, AI-focused companiesFinancial, healthcare, e-commerce, and research organizations

Flexible Java Machine Learning specialists focus on developing machine learning models using Java, often integrating into software applications. Java Data Scientists analyze data and build models, sometimes using Java but often with other tools. Both roles require programming skills and work in tech-driven industries, but their primary focus differs: development versus analysis.

What cities in Arizona are hiring for Flexible Java Machine Learning jobs? Cities in Arizona with the most Flexible Java Machine Learning job openings:
Flexible Java Machine Learning jobs near you

Machine Learning Operations Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 14 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The MLOps Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments.

DUTIES AND RESPONSIBILITIES:

  • Team Leadership - provide mentorship, guidance and support to team members

  • Strategic Planning - develop and execute MLOps strategy aligned with Globe's objectives

  • Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective .

  • Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle

  • Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining

  • Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.

  • Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards

  • Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices

REQUIREMENTS:

  • Minimum of 5 years of experience in machine learning, data science, or software engineering roles.

  • At least 2-3 years of experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization

  • Proven track record of managing projects and leading teams.

    Knowledge of data privacy regulations and best practices in model governance and security.

    Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Soft Skills:

  • Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms.

  • Strong problem-solving abilities and analytical thinking

Hard Skills:

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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