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Tensorflow Engineer Jobs in Chicago, IL (NOW HIRING)

Catalyst Labs

ML Engineer

Chicago, IL · On-site

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

Spruce Infotech

AI Engineer

Chicago, IL · On-site

Proven expertise in Python and AI/ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn ... Experience with data engineering, feature engineering, and data processing libraries (Pandas, NumPy ...

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 ...

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

$80 - $120/hr

... TensorFlow). * Solid understanding of core machine learning concepts, statistical methods, and ... Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or ...

IMC

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 ...

Uturndata

Data and AI Engineer

Chicago, IL · On-site

$80 - $120/hr

Collaborate with architects, customers, and senior engineers to implement data pipelines, platforms ... Scikit-learn, TensorFlow, PyTorch, .... * Programmatic use of agents via Strands, Lanchain, or ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site

... like TensorFlow, PyTorch • Proven experience in ML engineering • Strong programming skills (Python, R) • Cloud services and infrastructure knowledge • Agile methodologies understanding ...

Uturndata

Sr. Data and AI Engineer

Chicago, IL · On-site

$90 - $120/hr

Mentoring and guiding junior engineers, cross-team collaboration with cloud engineers * Build and ... Scikit-learn, TensorFlow, PyTorch, .... * Programmatic use of agents via Strands, Langchain, or ...

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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 Sep 5, 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

ML Engineer

Catalyst Labs

Chicago, IL • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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