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Executive Tensorflow Jobs (NOW HIRING)

ECS

Senior AI Engineer

Falls Church, VA · On-site

$111.50K - $153.10K/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 ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

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 ...

Apple

AIML Security Engineering

Cupertino, CA · On-site

... executive leadership...We offer-.Opportunity to shape AI/ML security strategy at global scale ... Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security ...

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 ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/yr

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

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Executive Tensorflow information

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$26.5K

$93.6K

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How much do executive tensorflow jobs pay per year?

As of May 31, 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:
Executive Tensorflow jobs near you
Infographic showing various Executive Tensorflow job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 16% Physical, and 84% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Senior Data Scientist - NLP/LLM Specialist

Senior Data Scientist - NLP/LLM Specialist

Scismic

San Diego, CA

$155K - $240K/yr

Full-time

Posted 28 days ago

Job description

Scismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a “builder’s mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment.

The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the  consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries.

Ideal Candidate Profile

You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential.


Equal Opportunities

Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.

In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.
Responsibilities:
  • Lead client workshops and discovery sessions to identify NLP opportunities
  • Develop and present technical proposals to C-level executives
  • Manage multiple client projects simultaneously while maintaining quality and timelines
  • Design and implement novel NLP solutions for complex business problems
  • Architect scalable solutions for processing and analyzing large text corpora
  • Build custom language models tailored to each client's unique industry challenges
  • Automate repetitive analytical tasks and develop reusable algorithmic frameworks
  • Mentor junior data scientists and provide technical guidance on NLP projects
  • Develop automated content analysis, document processing, and customer insight systems
  • Create scalable text analytics platforms that drive measurable business outcomes
  • Work across retail, finance, healthcare, and media sectors
  • Translate complex AI capabilities into clear business value propositions
Technical Environment:
  • Languages: Python (primary), R, SQL, potentially C++ for optimization
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
  • Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure)
  • Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases
Required Qualification:
  • PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field
  • Minimum 5 years of professional experience in data science, machine learning, or related roles
  • Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques
  • Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale
  • Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem
  • MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments
  • Experience writing production code and ensuring well-managed software delivery
  • Experience with foundation models (GPT, BERT, T5, LLaMA, etc.)
  • Knowledge of retrieval-augmented generation (RAG) systems
  • Understanding of model compression techniques (quantization, distillation, pruning)
  • Experience with evaluation metrics and benchmarking for language models
Preferred:
  • Experience in consulting or client-facing technical roles
  • Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis)
  • Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML)
  • Open-source contributions to major ML/NLP libraries
Benefits:
  • Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks
  • Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance)
  • Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays)
  • Four-week sabbatical every five consecutive years of employment
  • Exceptional parental leave benefits
  • Global mentorship and networking programs
  • Monthly cell phone reimbursement
  • 401k savings and employee stock purchase plan
  • Volunteer hours (20 hours annually) for designated non-profit partner and personal choice
  • Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee)
  • Career growth opportunities (multi-day customized trainings for each level)
Equal Opportunities:
  • Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.
  • In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
  • In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.