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Ai Optimization Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

Evaluate and recommend appropriate AI and automation solution patterns, including traditional machine learning, predictive models, optimization, generative AI, retrieval-augmented generation, agentic ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how the power grid is planned, operated, and optimized. In this role, you'll apply artificial ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN

Evaluate and recommend appropriate AI and automation solution patterns, including traditional machine learning, predictive models, optimization, generative AI, retrieval-augmented generation, agentic ...

Infosys

AI Architect

Indianapolis, IN · On-site

The AI Architect role involves architecting and implementing production-grade AI agent solutions ... optimization standards for model accuracy and stability, in alignment with business goals. • ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... optimization, and deployment across cloud and on-prem environments. • Set architectural direction for integrating AI with enterprise systems (e.g., APIs, message queues, core platforms). • ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... models, optimization, generative AI, retrieval-augmented generation, agentic workflows, workflow automation, rules-based components, or hybrid approaches based on business need, data readiness ...

inKind

Data Engineer (AI)

Austin, IN · On-site

$135K - $155K/yr

AI Data Engineer Reports to: Senior Data Engineer Role Summary: Data Engineering is a key role in ... Expert level knowledge of SQL with focus on writing and optimizing queries * Demonstrated ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Analyze large-scale datasets, model telemetry, and inference performance to drive optimization ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques. Experience needed for our Principal AI Engineer include: * A Bachelor ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Analyze large-scale datasets, model telemetry, and inference performance to drive optimization ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

... optimization (right-sizing, query tuning, token/cost telemetry). * Support design/deployment ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

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All JobsAi Optimization JobsAi Optimization Jobs in Indiana

Ai Optimization information

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems, which are less easily automated. These jobs require advanced analytical skills, domain expertise, and adaptability to evolving technologies, making them more resilient to AI automation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

Which AI job is high paying?

AI roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist tend to be among the highest paying in the field, especially with advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch. Senior positions or specialized roles in AI development and strategy often offer higher salaries due to their expertise and impact on business outcomes.
What are popular job titles related to Ai Optimization jobs in Indiana? For Ai Optimization jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in Indiana look for? The top searched job categories for Ai Optimization jobs in Indiana are:
What cities in Indiana are hiring for Ai Optimization jobs? Cities in Indiana with the most Ai Optimization job openings:
Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Indiana as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Evansville, IN • Remote

Other

Posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply