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Freelance Generative Ai Engineer Jobs in Indiana

Allegion

AI Solutions Engineer

Carmel, IN · On-site

Strong proficiency with generative AI and large language models, including prompt engineering for reliable, high-quality outputs. * Experience defining and implementing evaluations for AI systems ...

New

Allegion

AI Solutions Engineer

Carmel, IN · On-site

Strong proficiency with generative AI and large language models, including prompt engineering for reliable, high-quality outputs. * Experience defining and implementing evaluations for AI systems ...

Autodesk

$84K - $111K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will strengthen our FinOps culture through shared accountability and transparency. You will build self ...

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Freelance Generative Ai Engineer information

What are the most common challenges faced by freelance generative AI engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What is a freelance generative AI engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

Can a freelance generative AI engineer do freelancing?

A freelance generative AI engineer can work independently on projects for clients, often setting their own schedules and rates. Success in freelancing typically requires strong skills in AI, machine learning, and relevant tools like Python and TensorFlow, as well as a portfolio demonstrating expertise. Many freelance AI engineers find opportunities through online platforms and networking.

How much do freelance generative AI engineers make?

Freelance generative AI engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Experienced professionals with specialized skills in machine learning frameworks and large language models can command higher rates, especially for complex or high-demand projects.

What are the key skills and qualifications needed to thrive as a freelance generative AI engineer?

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.

What are the most commonly searched types of Generative Ai Engineer jobs in Indiana?

The most popular types of Generative Ai Engineer jobs in Indiana are:

What are popular job titles related to Freelance Generative Ai Engineer jobs in Indiana?

For Freelance Generative Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Freelance Generative Ai Engineer jobs in Indiana look for?

The top searched job categories for Freelance Generative Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Freelance Generative Ai Engineer jobs?

Cities in Indiana with the most Freelance Generative Ai Engineer job openings:

Freelance Generative Ai Engineer jobs near you
Infographic showing various Freelance Generative Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Data Scientist - AI & Agentic Solutions

Graham Allen Partners

South Bend, IN • On-site

Full-time

Re-posted yesterday

Job description

Location
South Bend, IN - Hybrid
Type
Full-time
Travel
Occasional, client-dependent
Level
Senior Individual Contributor
About the Role
Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.
What You'll Do
  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready - integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy - feasibility, risk, sequencing, and expected ROI - in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring
Required
  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) - preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI - building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills - you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have
  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics
  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems - you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work
Skills & Requirements Qualifications

Apply