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Pytorch Jobs in Indiana (NOW HIRING)

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent problem-solving skills and attention to detail. * Ability to communicate complex findings in a clear and ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

... g., TensorFlow, PyTorch). • Excellent problem-solving skills and attention to detail. • Ability to communicate complex findings in a clear and concise manner. • Strong teamwork and ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

... g., TensorFlow, PyTorch). • Excellent problem-solving skills and attention to detail. • Ability to communicate complex findings in a clear and concise manner. • Strong teamwork and ...

NEOGOV

Solution Architect

Indianapolis, IN · On-site

$55.25 - $72.75/hr

... PyTorch, Scikit-learn) • Experience with building and deploying AI models in production environments • Familiarity with natural language processing (NLP), computer vision, and generative AI ...

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Pytorch information

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are the most commonly searched types of Pytorch jobs in Indiana?

The most popular types of Pytorch jobs in Indiana are:

What are popular job titles related to Pytorch jobs in Indiana?

For Pytorch jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Indiana look for?

The top searched job categories for Pytorch jobs in Indiana are:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Indiana as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Postdoctoral Fellow in Biostatistics & Health Data Science

Indiana University School of Education

Bloomington, IN • On-site

$42K - $58K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
The Kinsey Institute is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science to address critical challenges in clinical data harmonization using advanced methodologies. The role involves designing LLM-based methods, collaborating on data integration initiatives, and contributing to grant development within a collaborative environment focused on health equity and real-world data applications.
Responsibilities:
• Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment
• Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping
• Collaborate with national and multi-institutional initiatives in data integration and standardization
• Support open-source tooling, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS)
• Lead or support manuscript preparation and dissemination at top informatics and AI venues
• Contribute to grant development and proposal writing
Qualifications:
Required:
• Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
• Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
• Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
• Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
• Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.
Preferred:
• Experience with concept normalization, ontology mapping, or schema alignment.
• Familiarity with LLM agents, tool-augmented reasoning, or hybrid rules + LLM systems.
• Record of publications in relevant domains (informatics, machine learning, AI, knowledge representation).
• Experience with multi-site data harmonization or federated data environments.
Company:
The Indiana University School of Education is known for preparing reflective, caring, and skilled educators who make a difference in the lives of their students in Indiana, throughout the United States, and around the world. Founded in 1908, the company is headquartered in Bloomington, Indiana, US, , with a team of 201-500 employees. The company is currently Growth Stage.

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