Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support * Working with cyber ...
Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support * Working with cyber ...
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Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology ... artificial intelligence use cases, and drive measurable business outcomes. This role offers the ...
Sr Databricks Data Engineer
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that ...
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Hammond, IN · On-site
$80K - $104K/yr
CMM Programmer - Contract DISHER is seeking an experienced Controls Engineer for our customer in ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...
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Hammond, IN · On-site
$80K - $104K/yr
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This role is perfect for a passionate engineer who is eager to apply their skills to solve real-world problems and grow their career in the field of Artificial Intelligence. Key Responsibilities:
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Quick apply
Apply Early
Senior Computer Vision Engineer
Newburgh, IN · On-site
$99K - $136K/yr
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Apply Early
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Artificial Intelligence Engineer information
See Indiana salary details
$41.9K - $53.1K
2% of jobs
$53.1K - $64.3K
16% of jobs
$71.8K is the 25th percentile. Wages below this are outliers.
$64.3K - $75.5K
11% of jobs
$75.5K - $86.7K
20% of jobs
The median wage is $89.1K / yr.
$86.7K - $97.9K
7% of jobs
$97.9K - $109.1K
2% of jobs
$109.1K - $120.3K
1% of jobs
$126.4K is the 75th percentile. Wages above this are outliers.
$120.3K - $131.5K
29% of jobs
$131.5K - $142.7K
3% of jobs
$142.7K - $153.9K
4% of jobs
$153.9K - $165.1K
4% of jobs
$41.9K
$101.2K
$165.1K
How much do artificial intelligence engineer jobs pay per year?
What jobs do AI engineers do?
What are the typical daily responsibilities of an Artificial Intelligence Engineer?
Artificial Intelligence Engineers typically spend their days developing and optimizing machine learning models, analyzing large datasets, and collaborating closely with data scientists, software engineers, and product managers. They design and test algorithms to solve specific business problems, document their findings, and frequently review recent research to stay on top of advances in the field. Additionally, they participate in code reviews, attend project meetings, and may contribute to deploying AI systems into production environments. This role offers a dynamic and intellectually stimulating work environment where continuous learning and innovation are encouraged.
Which 3 jobs will survive AI?
What is a $900000 AI job?
What engineers make $500,000?
What does an Artificial Intelligence Engineer do?
An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.
What are the key skills and qualifications needed to thrive in the Artificial Intelligence Engineer position, and why are they important?
To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.
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Deloitte rating
8.0
Based on 89 frontline employees who took The Breakroom Quiz
71st of 146 rated financial services
Job description
Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
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 provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- 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:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
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 $82,600 to $162,800.
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.
#CDRCyber27
Qualifications:Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
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 provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- 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:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
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 $82,600 to $162,800.
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.
#CDRCyber27
Education:Bachelor's DegreeEmployment Type: