1

Executive Tensorflow Jobs (NOW HIRING)

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

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model ... Strong executive presence with ability to influence stakeholders at all levels of the organization ...

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

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

... Executive Service leaders, and operational analysts. The Senior AI Engineer serves as a senior ... PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying ...

They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation ... And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ...

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 Jun 20, 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 jobs pay 500,000 a year in the US?

High-paying roles such as executive positions, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, senior roles like executive TensorFlow engineers or AI directors with extensive experience and advanced skills may also reach this level, especially in large companies or with equity compensation.

Which 3 jobs will survive AI?

For an Executive TensorFlow role, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. These include roles like AI/ML engineers, data scientists, and strategic leadership positions, which involve designing, overseeing, and interpreting AI systems. Skills in critical thinking, domain expertise, and human interaction remain essential in these fields.

What jobs pay 200,000 a year in the USA?

Executive roles in technology, such as senior machine learning engineers or AI directors, including those working with TensorFlow, can earn $200,000 or more annually. High-level data scientists, software architects, and specialized AI consultants with advanced skills and certifications also often reach this salary level, especially in large companies or tech hubs.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI executives, lead data scientists, or specialized machine learning engineers with extensive experience and advanced skills in areas like TensorFlow. These positions often involve strategic decision-making, managing large teams, or developing cutting-edge AI solutions, and they usually require advanced certifications and a strong track record in AI development. Compensation at this level reflects the high demand for expertise in artificial intelligence and machine learning fields.

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:
Build & Operations Engineer - Full Time/Contract - Redmond, WA - Locals Only

Build & Operations Engineer - Full Time/Contract - Redmond, WA - Locals Only

krg technology inc

Redmond, WA • On-site

$77K - $105K/yr

Contractor

Posted 17 days ago


Job description

Company Description

Thanks & Regards
Balaji Bobby | Resourcing Executive
KRG Technologies, Inc.,
25000 Avenue Stanford, Suite #243, Valencia, CA 91355
Direct : 661-367-8000 Ext : 251  | www.krgtech.com

Job Description
  • Experience in Linux administration including troubleshooting software and hardware problems,
  • Knowledge of Python, C++, Linux scripting, makefiles, and CMake,
  • Experience with version control tools, specifically Git,
  • Experience with installation and maintenance of research software tools such as Caffe, CNTK, TensorFlow, Keras, ROS, OpenCV, Matlab, SciPY,
  • Experience with maintaining large amounts of data for Machine Learning experiments.
Qualifications

Hiring Mode - Contract / Full Time.

Only Looking for Local Candidates.

Additional Information

Client - HCL America Inc / Intel Corporation


KRG Technologies logo

About KRG Technologies

Sourced by ZipRecruiter

KRG Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want. By leveraging for its clients its technological edge and right-sourcing advantage, KRG in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Headquartered in Valencia, California, KRG employs a unique global delivery platform to minister its offerings spanning from application development and maintenance to business process reengineering. With years of hands-on domain experience and international presence, we offer state-of-the-art solutions backed by our follow-the-sun service model in the most cost effective manner. We value our clientele for the trust reposed in us and our clientele admire us for our personalized approach and deep commitment to their success. Our biggest strength lies in technical expertise of our team and individual competency of our employees, which enables us to be the most befitting solution provider.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Valencia, CA, US

Year founded

2003

Social media