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Artificial Intelligence Machine Learning Engineer Jobs in Fortville, IN

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this client-facing role, you will work with security engineers, security operations center teams ...

AI Engineer

Indianapolis, IN ยท On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineering to build and deploy software and platform systems that create ... Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve ...

Principal Innovation Engineer

Indianapolis, IN ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field * 10+ years of experience in software engineering, technology ...

Machine Learning Tutor

Indianapolis, IN ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

CTIO AI Engineering Manager

Indianapolis, IN ยท On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... learning models - Developing scalable, cloud-native microservices using Docker and Kubernetes ...

NGA AI Engineer Manager

Indianapolis, IN ยท On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Artificial Intelligence and Robotics preferred - Demonstrating exceptional team leadership ...

CTIO - AI Engineer- Senior Manager

Indianapolis, IN ยท On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ... machine learning and deep learning techniques effectively - Excelling in complex data analysis and ...

New

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Fortville, IN salary details

$29.3K

$120K

$180.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for artificial intelligence machine learning engineer in Fortville, IN is $119,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Fortville, IN are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Fortville, IN with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Fortville, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $119,954 per year, or $57.7 per hour.

Artificial Intelligence (AI) Data Governance Officer

Northwest-Bank

Fishers, IN โ€ข On-site

$120 - $180/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue, PA0736 Administration CenterJob DescriptionThe AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.Essential FunctionsLeads administration of the Bankโ€™s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.Maintain the enterprise inventory of AI use cases and associated governance records.Assess proposed AI implementations to determine applicable governance requirements and control expectations.Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.Promote awareness and understanding of AI governance requirements throughout the institution.Develops and maintains enterprise policies, standards, and procedures governing AI risk.Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.Ensure compliance with Northwestโ€™s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.Additional Essential FunctionsEnsure compliance with Northwestโ€™s policies and procedures, and Federal/State regulationsNavigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiencyWork as part of a teamWork with on-site equipmentWhat You Bring to the TeamParticipate in enterprise initiatives involving emerging technologies and advanced analytics.Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.Recommend customer service enhancementsQUALIFICATIONSTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.EducationBachelor's Degree Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Master's Degree Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Work Experience8 - 12 years Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance And3 - 5 years Experience evaluating or governing AI/ML use cases across the lifecycle, including:pre-implementation assessmentcontrol designpost-deployment monitoringExperience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)Experience supporting or interacting with internal audit, regulators, or independent model review functionsExperience supporting or interacting with internal audit, regulators, or independent model review functionsAdditional Knowledge, Skills and AbilitiesAbility to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolvingAbility to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholdersAbility to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomesAbility to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholdsAbility to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teamsAbility to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systemsLicenses and CertificationsCertified Information Systems Auditor (CISA)Certified in Risk and Information Systems Control (CRISC)Financial Risk Manager (FRM)Certified Third-Party Risk Professional (CTPRP)Relevant AI governance certificationsNorthwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr