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Google Cloud Machine Learning Engineer Jobs in Salem, IL

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Google Cloud Machine Learning Engineer information

See Salem, IL salary details

$22

$60

$83

How much do google cloud machine learning engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for google cloud machine learning engineer in Salem, IL is $60.27, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $68.65 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

What cities near Salem, IL are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Salem, IL with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you

Senior Solution Architect - Data Protection (f/m/d)

Fujitsu Careers

Augsburg, IL • On-site

$126.63 - $172.67/hr

Other

Retirement

Posted 10 days ago

Job description

Senior Solution Architect - Data Protection (f/m/d) Language View Profile Employee Login

Job Description

Senior Solution Architect - Data Protection (f/m/d)

Job Location: Augsburg

Location Flexibility: Multiple Locations in Country

Req Id: 10522

Posting Start Date: 7/30/26

At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Transform your world with us!

Fsas Technologies Europe is a leading provider of advanced data center solutions, empowering its customers and partners in Europe to leverage the performance of their infrastructure for sustainable digital transformation, thanks to its first-class employees and future-proof technologies. As a Fujitsu company, Fsas Technologies applies its expertise to realize the Fujitsu Group's goal of building trust in society through innovation and making the world more sustainable.

We offer an appreciative and flexible work environment that promotes work-life balance and actively supports individual career development. Diversity, equal opportunities, and inclusion are central values of our corporate culture. Together, we have the future in mind – and for that, we need people with foresight.

Key Responsibilities
  • Strategic Solution Design: You are responsible for the high-level design of complex backup & restore solutions, evaluating IT concepts for technical feasibility, standard compliance, and long-term futureproofing.
  • Backbone for Product Management: You provide expert technical guidance to support the global development of our solutions in close alignment with European and Japanese portfolio management teams, translating market feedback into actionable roadmap items.
  • Technology Partnership Management: You serve as the primary technical point of contact for our strategic software partners (e.g., Commvault, Cohesity, Veritas, …) and evaluate their latest features for integration into our portfolio.
  • Lead in Customer Projects: You lead high-stakes Proof-of-Concept (PoC) projects, deliver high-level technical presentations, and oversee critical implementations as a Technical Lead (remote or on-site).
  • Innovation & Showcasing: You conceptualize and operate complex showcase architectures in our Munich Demo-Center/Lab to demonstrate the performance and reliability of our Data Protection solutions.
  • Knowledge Leadership: You define the standard for the implementation of our solutions across Europe by creating technical documentation and advanced training concepts.
  • Post-Sales Support: You provide expert-level guidance to Post-Sales colleagues across Europe, ensuring successful deployment and troubleshooting of high-tier backup solutions.
Required Qualifications & Skills
  • Extensive Expert Experience: Proven track record in the architecture, planning, and deployment of enterprise-grade backup & restore concepts.
  • High Technology Affinity: Expert knowledge in at least two market-leading technologies (preferably Commvault and Cohesity, complemented by Veritas NetBackup or Veeam).
  • Cloud & Infrastructure Proficiency: Deep understanding of hybrid environments (On-Premises, Azure, AWS, Google Cloud) and modern workloads (Containers, SaaS-Backup).
  • Strong Communication & Presentation: Fluent in both German and English. You possess the ability to present complex technical topics confidently to both technical teams and executive decision-makers.
  • Strategic Mindset: You work with a high degree of autonomy, think proactively, and enjoy acting as the technical bridge between Sales, Product Development, and Partners.
  • Mobility: Willingness to travel within Europe to support customers and partners on-site.
This is what we offer you
  • Flexible working hours and mobile working allow you to optimally balance family, leisure, and work. We emphasize personal responsibility and trust - without fixed office days.
  • Enjoy 30 days of vacation plus special leave for special occasions and use our time value account for your personal projects and longer breaks.
  • We invest in your personal and professional development with individualized talent programs, coaching, mentoring, and extensive learning platforms. Together, we will find the career path that perfectly suits you.
  • With our excellent health and well-being offerings, we support you in staying fit, healthy, and balanced.
  • We reward your contribution with a performance-based and attractive salary.
  • Benefit from exclusive perks and employee discounts.
  • Plan your future or your next world trip – with our attractive pension plans.
  • And much more: Discover additional attractive benefits at Fujitsu!
Interested?

#Europe_Priority Relocation Supported: No Visa Sponsorship Approved: No

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.

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