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Tensorflow Engineer Jobs in Chicago, IL (NOW HIRING)

... such as TensorFlow and PyTorch . This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software ...

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to ... with TensorFlow (preferred), Caffe, Keras, Theano or Torch * Excellent verbal and written ...

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to ... with TensorFlow (preferred), Caffe, Keras, Theano or Torch * Excellent verbal and written ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.

... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...

As an AI Engineer, you will work on high-impact machine learning and artificial intelligence ... such as TensorFlow, PyTorch, TensorRT, or ONNX. • Experience with Large Language Models ...

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

We're looking for researchers and experienced engineers from any background. Trading experience is ... PyTorch/TensorFlow * Proficiency in Python, C++, or similar languages for tooling, testing, and ...

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Tensorflow Engineer information

See Chicago, IL salary details

$34K

$96.9K

$150K

How much do tensorflow engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for tensorflow engineer in Chicago, IL is $96,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $111,900.00 per year, depending on experience, location, and employer.

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Re-posted 9 days ago


Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks such as TensorFlow and PyTorch. This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.