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Machine Learning Internship Microsoft Jobs in Nevada

Wwecorp

Event Development Intern, UFC

Las Vegas, NV

$14.25 - $19/hr

Working knowledge of Microsoft Office programs: Word, Excel, PowerPoint, and Outlook * Outgoing ... All internships are in the office and in-person, unless otherwise noted. In addition to hands-on ...

Scout Solutions

Part-Time Intern

Las Vegas, NV · On-site +1

$14.25 - $19/hr

The goal of our internship program is designed to combine the theoretical training and practical ... Proficiency in standard office applications such as Microsoft Word, Excel, and PowerPoint. * Strong ...

Whiting-Turner Contracting Company

Construction Intern

Reno, NV · On-site

$29K - $34K/yr

Depending on the work assignment, interns will report to a project manager, superintendent, project ... You will be learning the engineering and technical aspects of the project both in the field and in ...

Click Bond Inc.

Machinist I

Carson City, NV · On-site

$21.25 - $29.25/hr

Participate in learning and teaching with colleagues cross-functionally, including but not limited ... Machine Tool Technology Certification, Manufacturing Technician (MT1), National Institute of ...

CLICK BOND INC

Machinist I

Carson City, NV

$21.25 - $29.25/hr

Participate in learning and teaching with colleagues cross-functionally, including but not limited ... Machine Tool Technology Certification, Manufacturing Technician (MT1), National Institute of ...

Cintas

Intern

North Las Vegas, NV

$14 - $18.50/hr

Other co-op or internship experience in a Customer Service, Sales, Production or Administrative role * A business or otherwise related academic major * Proficiency with Microsoft Office (Word, Excel ...

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Machine Learning Internship Microsoft information

What is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are the key skills and qualifications needed to thrive as a machine learning intern at Microsoft, and why are they important?

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.
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Machine Learning Internship Microsoft jobs near you

Cloud Security Manager - Azure Infrastructure & AI

Deloitte

Las Vegas, NV

$62.50 - $83/hr

Full-time

Re-posted 23 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

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 Cloud Security Manager on the Cloud Cyber Risk team, you will be responsible for:

  • Leading Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection
  • Managing project delivery activities across onshore and offshore teams, including solution design, assessments, implementations, health checks, and post-implementation reviews
  • Serving as the primary day-to-day client contact, providing guidance on Azure, Microsoft Entra ID, Microsoft 365, and cloud security risk mitigation strategies
  • Overseeing development of project deliverables, including assessment reports, architecture designs, technical recommendations, compliance reporting, and remediation plans
  • Supporting business development, talent, and practice activities, including proposal development, point of view creation, internal training, recruiting, and coaching

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:

  • 6+ years of experience in technical consulting, client problem solving, solution architecture, or solution design in Azure environments
  • 4+ years of hands-on experience designing and implementing cloud security solutions in public, private, or hybrid cloud environments
  • 4+ years of experience designing enterprise cloud security architectures and strategies
  • 4+ years of experience with Azure Policy, Terraform, or JavaScript Object Notation (JSON)-based infrastructure configuration
  • 3+ years architecting security on Microsoft Azure, including controls for Azure AI services such as Microsoft Foundry or Azure OpenAI covering data protection, identity and access management, and model scanning
  • 3+ years of experience with cloud native application protection platform (CNAPP), cloud security posture management (CSPM), or cloud workload protection platform (CWPP) technologies
  • 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:

  • Bachelor of Arts or Bachelor of Science degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology
  • Previous consulting experience
  • Microsoft certification in Azure or Security, including AZ-500, AZ-204, SC-900, SC-100, SC-200, SC-300, SC-400, SC-500, AI-300, AI-103, or AI-200
  • Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
  • Experience with identity and access management technologies and services
  • Experience with Azure data, analytics, or artificial intelligence and machine learning services

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 $134,500 to $265,100.

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.+

#DeloitteNDO

Qualifications:

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 Cloud Security Manager on the Cloud Cyber Risk team, you will be responsible for:

  • Leading Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection
  • Managing project delivery activities across onshore and offshore teams, including solution design, assessments, implementations, health checks, and post-implementation reviews
  • Serving as the primary day-to-day client contact, providing guidance on Azure, Microsoft Entra ID, Microsoft 365, and cloud security risk mitigation strategies
  • Overseeing development of project deliverables, including assessment reports, architecture designs, technical recommendations, compliance reporting, and remediation plans
  • Supporting business development, talent, and practice activities, including proposal development, point of view creation, internal training, recruiting, and coaching

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:

  • 6+ years of experience in technical consulting, client problem solving, solution architecture, or solution design in Azure environments
  • 4+ years of hands-on experience designing and implementing cloud security solutions in public, private, or hybrid cloud environments
  • 4+ years of experience designing enterprise cloud security architectures and strategies
  • 4+ years of experience with Azure Policy, Terraform, or JavaScript Object Notation (JSON)-based infrastructure configuration
  • 3+ years architecting security on Microsoft Azure, including controls for Azure AI services such as Microsoft Foundry or Azure OpenAI covering data protection, identity and access management, and model scanning
  • 3+ years of experience with cloud native application protection platform (CNAPP), cloud security posture management (CSPM), or cloud workload protection platform (CWPP) technologies
  • 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:

  • Bachelor of Arts or Bachelor of Science degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology
  • Previous consulting experience
  • Microsoft certification in Azure or Security, including AZ-500, AZ-204, SC-900, SC-100, SC-200, SC-300, SC-400, SC-500, AI-300, AI-103, or AI-200
  • Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
  • Experience with identity and access management technologies and services
  • Experience with Azure data, analytics, or artificial intelligence and machine learning services

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 $134,500 to $265,100.

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.+

#DeloitteNDO

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