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Tensorflow Engineer Jobs in Chicago, IL (NOW HIRING)

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

... 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 ...

PayPal

Machine Learning Engineer

Chicago, IL

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments ... Familiarity with ML frameworks like TensorFlow or scikit-learn. * Strong analytical and problem ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments ... Familiarity with ML frameworks like TensorFlow or scikit-learn. * Strong analytical and problem ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

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

DRW

AI Engineer

Chicago, IL · On-site

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 ...

Contruent

AI Engineer

Naperville, IL · On-site

$125K - $175K/yr

Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, LangChain, PyTorch, or TensorFlow ... Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic Claude, Amazon ...

Contruent

AI Engineer

Naperville, IL

Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, LangChain, PyTorch, or TensorFlow ... Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic Claude, Amazon ...

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

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 ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

... developers and business partners on remediation and improvement. The position also supports AI and ... Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. * Familiarity with cloud ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$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

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$34K

$96.9K

$150K

How much do tensorflow engineer jobs pay per year?

As of Jul 23, 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.
Tensorflow Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Posted 18 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.