Senior Python AI/ML Engineer (TensorFlow/PyTorch) Location: Alpharetta, GA (willing to travel to client locations) Employment Type: Full-Time (W2) Role Overview We are seeking an accomplished Senior ...
Senior Python AI/ML Engineer (TensorFlow/PyTorch) Location: Alpharetta, GA (willing to travel to client locations) Employment Type: Full-Time (W2) Role Overview We are seeking an accomplished Senior ...
ML Engineer
Minneapolis, MN · On-site
CI/CD and DevOps practices applied to ML workloads (MLOps). * Experience with feature stores, model ... Python, TensorFlow, PyTorch, Docker, REST APIs
ML Engineer
Minneapolis, MN · On-site
CI/CD and DevOps practices applied to ML workloads (MLOps). * Experience with feature stores, model ... Python, TensorFlow, PyTorch, Docker, REST APIs
ML Engineer
New York, NY · On-site
... Engineering on feature pipelines and data contracts. - Own production health drift detection ... ML frameworks (TensorFlow/PyTorch). - Experience with containers and orchestration (Docker ...
ML Engineer
New York, NY · On-site
... Engineering on feature pipelines and data contracts. - Own production health drift detection ... ML frameworks (TensorFlow/PyTorch). - Experience with containers and orchestration (Docker ...
AI/ML Engineer
Mclean, VA · On-site
AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills ... Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP ...
AI/ML Engineer
Mclean, VA · On-site
AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills ... Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP ...
AI/ML Engineer
Albany, NY · Remote
AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following ... Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch ...
Quick apply
AI/ML Engineer
Albany, NY · Remote
AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following ... Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch ...
Applied ML Engineer
Louisville, KY · On-site
ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...
Applied ML Engineer
Louisville, KY · On-site
ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...
AI/ML Engineer
Chicago, IL · On-site
Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... TensorFlow and PyTorch . This role requires strong technical skills in machine learning ...
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AI/ML Engineer
Chicago, IL · On-site
Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... TensorFlow and PyTorch . This role requires strong technical skills in machine learning ...
ML ENGINEER
Atlanta, GA · On-site
Title: Sr. ML Engineer * Location: Atlanta, GA * Rate: USD 52/hr * Account: New Logo * Positions: 1 ... Python, PyTorch, TensorFlow, Scikit-learn, Pandas, SQL, NoSQL, and data pipelines. * AI/ML ...
New
ML ENGINEER
Atlanta, GA · On-site
Title: Sr. ML Engineer * Location: Atlanta, GA * Rate: USD 52/hr * Account: New Logo * Positions: 1 ... Python, PyTorch, TensorFlow, Scikit-learn, Pandas, SQL, NoSQL, and data pipelines. * AI/ML ...
New
ML Engineer
Manhattan Beach, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Manhattan Beach, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Stamford, CT · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Stamford, CT · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
San Francisco, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
San Francisco, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Manhattan, NY · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Manhattan, NY · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Palo Alto, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Palo Alto, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Manhattan, NY · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Manhattan, NY · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
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 ...
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 ...
ML Engineer
Cupertino, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Cupertino, CA · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Houston, TX · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Houston, TX · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Miami, FL · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Miami, FL · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Charlotte, NC · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Charlotte, NC · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Austin, TX · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
ML Engineer
Austin, TX · On-site
... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...
Tensorflow Ml Engineer information
See salary details
$33K - $43.2K
6% of jobs
$43.2K - $53.5K
1% of jobs
$53.5K - $63.7K
2% of jobs
$63.7K - $73.9K
11% of jobs
$76.9K is the 25th percentile. Wages below this are outliers.
$73.9K - $84.1K
17% of jobs
The median wage is $92.7K / yr.
$84.1K - $94.4K
16% of jobs
$94.4K - $104.6K
22% of jobs
$104.8K is the 75th percentile. Wages above this are outliers.
$104.6K - $114.8K
12% of jobs
$114.8K - $125K
12% of jobs
$125K - $135.3K
1% of jobs
$135.3K - $145.5K
1% of jobs
$33K
$94K
$145.5K
How much do tensorflow ml engineer jobs pay per year?
As of Sep 10, 2026, the average yearly pay for tensorflow ml engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.
What are popular job titles related to Tensorflow Ml Engineer jobs?
For Tensorflow Ml Engineer jobs, the most frequently searched job titles are:
Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125
Alpharetta, GA • On-site
R2 Technologies Corporation
Full-time
Medical, Retirement, PTO
Re-posted 8 days ago
Job description
Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Python AI/ML Engineer (TensorFlow/PyTorch)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an accomplished Senior Python AI/ML Engineer to develop advanced AI solutions using Python with TensorFlow or PyTorch. This role focuses on building and training machine learning models within scalable data pipelines.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Compensation & Benefits
R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, AI, Machine Learning, TensorFlow, PyTorch, Data Pipeline, Model Training
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Python AI/ML Engineer (TensorFlow/PyTorch)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an accomplished Senior Python AI/ML Engineer to develop advanced AI solutions using Python with TensorFlow or PyTorch. This role focuses on building and training machine learning models within scalable data pipelines.
Key Responsibilities
- Design and implement AI/ML models using Python with TensorFlow or PyTorch for predictive insights.
- Build and optimize data pipelines to preprocess and feed data into model training workflows.
- Train, evaluate, and deploy machine learning models in production environments.
- Collaborate with data scientists to refine models and improve accuracy and performance.
- Ensure scalability and efficiency of AI solutions through robust pipeline design.
- Monitor and troubleshoot model performance to maintain production reliability.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience in Python development with a focus on AI and machine learning.
- Proficiency in building and training models with TensorFlow or PyTorch for real-world applications.
- Experience with data pipelines for preprocessing and managing ML training datasets.
- Strong understanding of AI/ML workflows and their integration into production systems.
Preferred Qualifications
- Familiarity with cloud platforms like AWS or Azure for deploying AI/ML models.
- Exposure to advanced ML techniques like deep learning or reinforcement learning.
- Knowledge of GPU optimization for accelerating model training processes.
Compensation & Benefits
- Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
- Opportunities for professional growth and upskilling in AI and cloud technologies.
R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, AI, Machine Learning, TensorFlow, PyTorch, Data Pipeline, Model Training