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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

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

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/ML Technical Lead

Indianapolis, IN · On-site

... g., TensorFlow, PyTorch, MLflow) and familiarity with Databricks ecosystem (Spark, Delta Lake). • Strong programming skills in Python and SQL, with experience in CI/CD pipelines, GitHub, 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 ...

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 ...

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 ...

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Tensorflow information

See Indiana salary details

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How much do tensorflow jobs pay per year?

As of Jun 27, 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 kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing, training, and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

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.

Which 3 jobs will survive AI?

TensorFlow professionals, data scientists, and AI engineers are likely to continue thriving as AI advances, since their roles involve developing, training, and maintaining machine learning models. These jobs require specialized skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and certification in AI tools can help ensure job security in this evolving field.

What job makes $10,000 a month without a degree?

In the field of TensorFlow and machine learning, roles such as freelance AI developer, data scientist, or machine learning engineer can earn $10,000 or more per month with strong skills and experience, often without a formal degree. These positions typically require proficiency in programming, deep learning frameworks, and project portfolios, and may involve remote work or contract-based projects.

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on business outcomes.

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 the most commonly searched types of Tensorflow jobs in Indiana? The most popular types of Tensorflow jobs in Indiana are:
What are popular job titles related to Tensorflow jobs in Indiana? For Tensorflow jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Indiana look for? The top searched job categories for Tensorflow jobs in Indiana are:
What cities in Indiana are hiring for Tensorflow jobs? Cities in Indiana with the most Tensorflow job openings:
Tensorflow jobs near you

Senior ML Engineer

Tao Digital Solutions, Inc.

Indianapolis, IN • On-site

$99K - $137K/yr

Full-time

Posted 24 days ago

Job description

We are building a small, high-impact team to support advanced analytics and machine learning initiatives for a leading healthcare technology management company. This team will focus on predictive modeling, cost optimization, and ROI analysis for clinical asset management and capital planning.
Key Responsibilities
  • Develop and deploy statistical and machine learning models for predictive maintenance, resource optimization, and operational efficiency.
  • Perform econometric and financial analysis to support capital planning and cost-benefit decisions.
  • Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device telemetry).
  • Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights into actionable strategies.
  • Ensure compliance with HIPAA and healthcare data governance standards.

Required Qualifications
  • Master's or Ph.D. in Statistics, Economics, Data Science, or related field.
  • 3+ years of experience in ML model development and deployment.
  • Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD).
  • Proficiency in Python, SQL, and ML frameworks (Scikit-Learn, XGBoost, TensorFlow).
  • Excellent communication skills for presenting insights to technical and business stakeholders.

Preferred Skills
  • Experience with healthcare data (EHR, claims, RTLS).
  • Familiarity with capital planning and ROI modeling.
  • Knowledge of cloud platforms (AWS, Azure) and containerized deployments.

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