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Tensorflow Jobs in Indiana (NOW HIRING)

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

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 ...

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 ...

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How much do tensorflow jobs pay per year?

As of Jun 5, 2026, the average yearly pay for tensorflow in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

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

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.
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Tensorflow jobs near you

Senior Computer Vision Engineer

Matrix Design Group LLC

Newburgh, IN • On-site

$99K - $136K/yr

Full-time

Posted 25 days ago

Job description

Job Summary:
Matrix Design Group LLC is a company that designs, manufactures, and sells innovative technological products to enhance safety. The Senior Computer Vision Engineer will collaborate with software engineers and product managers to develop vision-based artificial intelligence algorithms, ensuring the design of safe and effective computer vision solutions.
Responsibilities:
• Prepare customer-facing presentations for custom model deployments
• Implement CI/CD pipelines for models, data, and source code
• Work with product and project managers to ensure that projects proceed on time and on budget
• Work with other engineers to develop a working understanding of how the AI is developing
• Document process steps to ensure reasonable human oversight
• Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
• Mentor junior engineers and interns
• Participate in code reviews and sprint planning
• Understand and apply best practices for object detection modeling
• Understand and apply TensorFlow, PyTorch, and ONNX core concepts
• Understand and apply hardware accelerator compilation and execution
• Understand and apply Jupyter Notebooks/Google Colab concepts
• Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines
Qualifications:
Required:
• All applicants must be able to provide proof of eligibility to work in the United States.
• Employment is contingent upon the successful completion of the I-9 form, as required by federal law.
• Candidates will be required to undergo an employment verification process before beginning work.
• Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended.
• 7+ years of experience in the ML space.
• An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch.
• Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO.
• Experience with containerization technologies such as Docker, Kubernetes, etc.
• Experience developing software using one or more of the following languages (C/C++, C#, Python).
• Experience with Linux and/or Windows OS.
• Experience with model, container, and package registries.
• Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry.
• Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
• Experience with multimodal models such as CLIP, GPT-4V, Llama.
• Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
• Strong understanding of source control concepts and CI/CD pipelines.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills.
Preferred:
• Master’s degree in Artificial Intelligence a plus.
Company:
Matrix Design Group (Matrix) is the safety and productivity technology leader for industrial applications where people and mobile equipment work in close proximity. Founded in 1996, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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