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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 ...

ExpertiseGood knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C ...

Good knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK ...

Good knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK ...

ExpertiseGood knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C ...

Data Engineer I

Chicago, IL

$118K - $141K/yr

... engineers with real skills, project experience, and the confidence to perform from day one. At ... Python, SQL, Power BI, Tableau, TensorFlow, NLP * Databricks, Snowflake, Gen AI, Sagemaker, Machine ...

GenAI Engineer Location: Chicago, IL (Hybrid) Requirements: * Skill sets: Ability to develop ... Experience with TensorFlow, Keras, and PyTorch. * Cloud Platforms: Familiar with Google Model ...

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 ...

BI Analytics Engineer

Chicago, IL

$52.50 - $68.25/hr

... learn, TensorFlow, PyTorch, or similar). · Strong understanding of statistical analysis and ... engineering workflows. · Familiarity with Git and CI/CD for analytics and ML solutions. · ...

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 ...

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 ...

Strong background in PyTorch, TensorFlow, Hugging Face Transformers . * Knowledge of fine-tuning, prompt engineering, embeddings, and model optimization . * Experience deploying models using AWS ...

Lead ML Engineer

Deerfield, IL

$104K - $137K/yr

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. Preferred Traits * Strong communication and ...

Sr. Data Engineer

Chicago, IL

$118K - $141K/yr

Job Summary: We're looking for a Sr. Data Engineer with strong data platform experience to help ... Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit ...

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, 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 Jun 10, 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

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Posted 5 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.