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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

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 ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. * Experience working with data processing, feature engineering, and model ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. * Experience working with data processing, feature engineering, and model ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. * Experience working with data processing, feature engineering, and model ...

Onebridge

AI Developer

Indianapolis, IN

Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. * Experience working with data processing, feature engineering, and model ...

BC Forward

Software Engineer III (AI/ML)

Indianapolis, IN · On-site

$57 - $62/hr

Proficiency with Python for ML workflows and data processing, including PyTorch or similar frameworks. Experience building datasets and evaluation suites for multimodal models. Hands-on experience ...

Black Forest Labs

$150K - $300K/yr

Python, PyTorch DataLoader internals * Object storage (e.g. S3, Azure Blob, GCS) * Parquet for metadata * Video: ffmpeg, PyAV, codec fundamentals What We're Looking For * Built and operated data ...

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Pytorch information

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 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 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 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 June 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
ML Engineer

ML Engineer

Keystone Cooperative

Indianapolis, IN • On-site

Full-time

Posted 18 days ago

Keystone Cooperative rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

6th of 53 rated farming

Job description

Job Description
Overview: Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong understanding of data analysis, along with the ability to apply AI and ML methodologies to enhance our products.
Must be authorized to work in the United States now and in the future, without company sponsorship. Must be able to work onsite in the corporate office in Indianapolis, Indiana. (This role is not hybrid or remote).
Duties and Responsibilities:
Include but are not limited to:
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
  • Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
  • Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
  • Analyze complex datasets to extract actionable insights that inform product development strategies.
  • Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
  • Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
  • Create and maintain detailed documentation of data analysis processes and AI/ML model development.
  • Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
  • Provide training and support to team members and stakeholders on data analysis tools and techniques.

Skills and Qualifications:
  • Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
  • Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
  • 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 concise manner.
  • Strong teamwork and collaboration skills.

Education and Experience:
  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree preferred.

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