1

Google Cloud Machine Learning Engineer Jobs in Indiana

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Machine Learning Engineer

South Bend, IN · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Machine Learning Engineer

Fort Wayne, IN · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

next page

Showing results 1-20

Google Cloud Machine Learning Engineer information

See Indiana salary details

$22

$59

$83

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

As of Aug 18, 2026, the average hourly pay for google cloud machine learning engineer in Indiana is $59.84, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $68.17 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 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 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 cities in Indiana are hiring for Google Cloud Machine Learning Engineer jobs?

Cities in Indiana with the most Google Cloud Machine Learning Engineer job openings:

Cyber - Google Cloud Security - Senior Manager

Deloitte

Indianapolis, IN • On-site

$106K - $143K/yr

Full-time

Re-posted 3 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte is seeking a Senior Manager to lead how clients secure their Google Cloud Platform (GCP) cloud and artificial intelligence (AI) estates across large-scale transformation initiatives. This role advises executive stakeholders on cloud and AI security strategy and architecture, leads teams delivering complex technical programs, and supports practice growth through sales, account expansion, and marketplace eminence. The ideal candidate combines deep GCP security experience with strong leadership, client service, and business development capabilities.

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Manager on the GCP Cloud Security team, you will be responsible for:

  • Leading executive client relationships and Google Cloud and AI security engagements from strategy through implementation
  • Setting technical direction for securing GCP environments, including generative AI and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and cloud-native security capabilities
  • Defining target-state cloud security operating models, reference architectures, roadmaps, and investment priorities aligned to business and technology transformation objectives
  • Driving executive workshops, developing recommendations, and presenting implementation strategies to client leadership
  • Overseeing engagement teams, delivery quality, risk, engagement economics, and coordination across technical workstreams
  • Leading business development, growing client accounts, and building practice eminence through solution development, thought leadership, and talent mentorship

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 15+ years of experience in cybersecurity, cloud security, technology strategy, or management consulting
  • 5+ years of experience securing Google Cloud Platform (GCP) environments, including cloud security architecture and control design
  • 6+ years of experience leading cloud security, security architecture, or cyber risk programs
  • 4+ years of experience managing teams and delivering workstreams in a client-service environment, including experience leading technical security proposals and growing client accounts
  • Experience with Google Cloud-native security services, including Security Command Center, Identity and Access Management, Organization Policy Service, Cloud Key Management Service, Google Kubernetes Engine, Cloud Data Loss Prevention, and artificial intelligence or machine learning security workloads; and experience developing enterprise cloud security strategy, roadmap, operating model, business case, or target-state architecture
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Business Administration, Cybersecurity, Information Systems, Computer Science, or Engineering
  • Experience securing generative artificial intelligence and agentic workloads on Google Cloud Platform services, including Gemini AI, Gemini Enterprise, Model Garden, or Model Armor
  • Experience leading large-scale transformation programs in a consulting or Big 4 environment
  • Experience authoring whitepapers or points of view and leading or speaking at industry security conferences
  • Experience with Google Cloud Organization Policy Service or policy-as-code at enterprise scale
  • Industry certifications such as Google Cloud Professional certifications, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Cloud Security Professional (CCSP), or Project Management Professional (PMP)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is seeking a Senior Manager to lead how clients secure their Google Cloud Platform (GCP) cloud and artificial intelligence (AI) estates across large-scale transformation initiatives. This role advises executive stakeholders on cloud and AI security strategy and architecture, leads teams delivering complex technical programs, and supports practice growth through sales, account expansion, and marketplace eminence. The ideal candidate combines deep GCP security experience with strong leadership, client service, and business development capabilities.

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Manager on the GCP Cloud Security team, you will be responsible for:

  • Leading executive client relationships and Google Cloud and AI security engagements from strategy through implementation
  • Setting technical direction for securing GCP environments, including generative AI and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and cloud-native security capabilities
  • Defining target-state cloud security operating models, reference architectures, roadmaps, and investment priorities aligned to business and technology transformation objectives
  • Driving executive workshops, developing recommendations, and presenting implementation strategies to client leadership
  • Overseeing engagement teams, delivery quality, risk, engagement economics, and coordination across technical workstreams
  • Leading business development, growing client accounts, and building practice eminence through solution development, thought leadership, and talent mentorship

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 15+ years of experience in cybersecurity, cloud security, technology strategy, or management consulting
  • 5+ years of experience securing Google Cloud Platform (GCP) environments, including cloud security architecture and control design
  • 6+ years of experience leading cloud security, security architecture, or cyber risk programs
  • 4+ years of experience managing teams and delivering workstreams in a client-service environment, including experience leading technical security proposals and growing client accounts
  • Experience with Google Cloud-native security services, including Security Command Center, Identity and Access Management, Organization Policy Service, Cloud Key Management Service, Google Kubernetes Engine, Cloud Data Loss Prevention, and artificial intelligence or machine learning security workloads; and experience developing enterprise cloud security strategy, roadmap, operating model, business case, or target-state architecture
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Business Administration, Cybersecurity, Information Systems, Computer Science, or Engineering
  • Experience securing generative artificial intelligence and agentic workloads on Google Cloud Platform services, including Gemini AI, Gemini Enterprise, Model Garden, or Model Armor
  • Experience leading large-scale transformation programs in a consulting or Big 4 environment
  • Experience authoring whitepapers or points of view and leading or speaking at industry security conferences
  • Experience with Google Cloud Organization Policy Service or policy-as-code at enterprise scale
  • Industry certifications such as Google Cloud Professional certifications, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Cloud Security Professional (CCSP), or Project Management Professional (PMP)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom