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Executive Tensorflow Jobs (NOW HIRING)

Prodware Solutions

AI Program Manager

Houston, TX · Hybrid

Facilitate stakeholder communication, including executive reporting, demos, and change management ... Strong knowledge of AI technologies (e.g., LLMs, computer vision, NLP) and frameworks (TensorFlow ...

Diverse Lynx

Ai/Ml Architect

Marysville, OH

$58.50 - $75.25/hr

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

eTeam

AI CONSULTANT

Minneapolis, MN · On-site

... executive solutioning, and strategic pursuits Qualifications : Required : • AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face • Generative AI & LLMs: GPT, Claude, Llama, Gemini ...

Opplane

Chief Architect

Santa Clara, CA · On-site

... TensorFlow and PyTorch for model training, and employing Generative Adversarial Networks (GANs) for ... executive leadership, and external partners to align technical goals with overarching business and ...

Select Minds LLC

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 ...

MedReview

Data Scientist

Austin, TX · On-site

... executive decisions. Qualifications: * Master's degree or bachelors degree and equivalent ... Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical ...

MedReview

Data Scientist

Austin, TX · On-site +1

... executive decisions. Qualifications: * Master's degree or bachelors degree and equivalent ... Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical ...

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Executive Tensorflow information

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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:
Executive Tensorflow jobs near you
Direct Client - Lead Data Science Engineer (Machine Learning) - Irving TX - Onsite

Direct Client - Lead Data Science Engineer (Machine Learning) - Irving TX - Onsite

InfoVision, Inc.

Irving, TX

$98K - $129K/yr

Other

Posted 29 days ago

Job description

Job Title: Lead Data Science Engineer (ML)

Location: Irving TX – Onsite

Duration: 12 months

We are seeking a Lead Data Science Engineer specializing in Machine Learning Operations (MLOps) to join our growing Data & AI practice. In this role, you will own the end-to-end ML lifecycle — from experimentation and model development to automated deployment and production monitoring — using MLflow as the central platform for experiment tracking, model registry, and deployment orchestration.

Leadership & Collaboration

•      Lead a team of 3–6 ML engineers and data scientists; conduct design reviews and mentor junior talent

•      Collaborate with client stakeholders to gather requirements, translate them into ML system architecture, and communicate trade-offs

•      Define MLOps maturity roadmaps for client engagements and internal projects

REQUIRED QUALIFICATIONS

Overall 12+ yrs of experience

•      8+ years of experience in data science, ML engineering, or a closely related discipline

•      5+ years of hands-on MLflow usage across Tracking, Projects, Models, and Registry components

•      Strong proficiency in Python; experience with ML frameworks: scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow

•      Demonstrated experience building production-grade ML pipelines on at least one major cloud platform (AWS, Azure, Google Cloud Platform)

•      Deep knowledge of containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Helm)

•      Experience with feature store design, data versioning (DVC), and model governance frameworks

•      Strong SQL and working knowledge of distributed computing (Spark, Dask)

•      Excellent communication skills; ability to present technical concepts to executive and non-technical audiences

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