1

Executive Tensorflow Jobs (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and ... executive audiences. - Ability to adapt quickly to changing priorities and new technologies ...

... frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with IaC: AWS CDK, Terraform ... Excellent communication with technical & executive stakeholders Preferred: * AWS Certifications (ML ...

Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and ... TensorFlow * PyTorch * Scikit-Learn * Microsoft Certified: Azure AI Engineer * Experience ...

New

Communicate findings and recommendations to stakeholders and executive leadership. Stay updated ... Experience with modern ML frameworks such as PyTorch, TensorFlow Experience with big data ...

Lead AI/ML Engineer

Torrance, CA · On-site

$105K - $138K/yr

Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with Infrastructure ... Excellent communication skills with the ability to engage technical and executive stakeholders ...

next page

Showing results 1-20

Executive Tensorflow information

See salary details

$26.5K

$93.6K

$184K

How much do executive tensorflow jobs pay per year?

As of Jul 11, 2026, the average yearly pay for executive tensorflow in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Tensorflow vs Data Scientist?

AspectExecutive TensorflowData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in TensorFlowDegree in Computer Science, Data Science, or related fields; certifications in data analysis and machine learning
Work EnvironmentLeadership roles in tech companies, overseeing AI projects, strategic planningHands-on data analysis, model development, data visualization in research or corporate settings
Employer & Industry UsageTech firms, AI startups, large enterprises implementing AI strategiesResearch institutions, tech companies, finance, healthcare, and retail sectors

Executive Tensorflow professionals focus on strategic leadership and overseeing AI initiatives, often requiring advanced degrees and certifications. Data Scientists are more involved in hands-on data analysis and model building. While both roles work with TensorFlow, their responsibilities and work environments differ significantly.

What cities are hiring for Executive Tensorflow jobs? Cities with the most Executive Tensorflow job openings:
What are the most commonly searched types of Tensorflow jobs? The most popular types of Tensorflow jobs are:
What states have the most Executive Tensorflow jobs? States with the most job openings for Executive Tensorflow jobs include:
Infographic showing various Executive Tensorflow job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Founding ML Engineer for AI-Driven Hedge Fund

Poesis

San Francisco, CA • Hybrid

Full-time

Re-posted just now


Job description

A pioneering hedge fund in San Francisco is seeking a Founding ML Engineer to architect and build machine learning systems for investment decisions. This hands-on role requires 5–10+ years of experience and proficiency in Python and ML frameworks like PyTorch and TensorFlow. The position offers a hybrid work style and opportunities to work closely with executives. The candidate will be integral in developing reproducible ML pipelines, implementing evaluation frameworks, and establishing robust MLOps practices. #J-18808-Ljbffr