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Machine Learning Engineer Associate Jobs in Minneapolis, MN

Create andmaintaindatasets that support reporting, dashboards, analytics, machine learning, and AI ... Relevant certifications (e.g., Security+, CISSP, Azure Security Engineer Associate, CKS)

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Focused on relationships, you are building meaningful client connections, and learning how to ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

Rhythm Express is seeking an AI Engineer to join our team to develop and implement machine learning algorithms used in cardiac remote monitoring. This position will work alongside and collaborate ...

... machine learning models and AI applications in a cloud environment (Azure preferred). o Strong SQL required and data engineer skills would be a plus. · Technical Skills: o Solution Design skills:

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

Senior Software Engineer

Minneapolis, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

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Showing results 1-20

Machine Learning Engineer Associate information

See Minneapolis, MN salary details

$43.3K

$86.3K

$137.8K

How much do machine learning engineer associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer associate in Minneapolis, MN is $86,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $99,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Minneapolis, MN? The most popular types of Machine Learning Engineer jobs in Minneapolis, MN are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Minneapolis, MN? For Machine Learning Engineer Associate jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Minneapolis, MN look for? The top searched job categories for Machine Learning Engineer Associate jobs in Minneapolis, MN are:
Infographic showing various Machine Learning Engineer Associate job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $86,256 per year, or $41.5 per hour.
Cloud Security Senior Manager - Azure Infrastructure & AI

Cloud Security Senior Manager - Azure Infrastructure & AI

Deloitte

Minneapolis, MN

$68.25 - $90.75/hr

Other

Re-posted 23 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 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 Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for...

  • Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
  • Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
  • Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
  • Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
  • Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services
  • Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space

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:

  • One of the following:
    • 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
    • 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies
  • 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
  • 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments
  • 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's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field
  • Master's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business Administration
  • Azure certifications, including Azure Security Engineer Associate or Azure Solutions Architect Expert
  • Experience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra ID
  • Experience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI Studio
  • Experience with Microsoft Copilot or GitHub Copilot security controls

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.

#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 Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for...

  • Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
  • Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
  • Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
  • Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
  • Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services
  • Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space

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:

  • One of the following:
    • 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
    • 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies
  • 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
  • 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments
  • 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's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field
  • Master's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business Administration
  • Azure certifications, including Azure Security Engineer Associate or Azure Solutions Architect Expert
  • Experience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra ID
  • Experience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI Studio
  • Experience with Microsoft Copilot or GitHub Copilot security controls

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.

#DeloitteNDO

Education:High School Diploma/GEDEmployment Type:

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