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Associate Tensorflow Jobs (NOW HIRING)

Luck Stone

AI Engineer

Manakin Sabot, VA · On-site

$106K - $128K/yr

Microsoft Certified Azure AI Engineer Associate * TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues ...

Luck Stone Corporation

AI Engineer

VA · On-site

$106K - $128K/yr

Microsoft Certified Azure AI Engineer Associate * TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues ...

Astrix Inc

Associate AI Scientist

South San Francisco, CA · On-site

$30 - $38/hr

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow) * Ability ...

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Associate Tensorflow information

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$141.2K

$310.5K

How much do associate tensorflow jobs pay per year?

As of Jun 20, 2026, the average yearly pay for associate tensorflow in the United States is $141,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $212,500.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For an Associate TensorFlow role, jobs that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include roles like data scientists, AI specialists, and machine learning engineers, who develop and oversee AI systems and require advanced technical skills and domain expertise. Continuous learning and staying updated with new tools and frameworks are essential for long-term job security in this field.

What kind of jobs use TensorFlow?

Associate TensorFlow roles are common in machine learning, data science, and AI engineering positions. These jobs involve developing, training, and deploying neural networks and deep learning models using TensorFlow, often requiring skills in Python and knowledge of machine learning concepts.

Which 5 jobs will survive AI?

For an Associate TensorFlow role, jobs that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include roles like data scientists, AI specialists, software engineers, machine learning engineers, and AI ethics consultants. Skills in programming, understanding of AI tools, and continuous learning are essential for adapting to technological changes.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are common in large tech companies or specialized AI firms at executive or senior levels.
What cities are hiring for Associate Tensorflow jobs? Cities with the most Associate 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 Associate Tensorflow jobs? States with the most job openings for Associate Tensorflow jobs include:
Associate Tensorflow jobs near you
AI Engineer

AI Engineer

Luck Stone

Manakin Sabot, VA • On-site

$106K - $128K/yr

Full-time

Posted 17 days ago

Job description

JOB SUMMARY: Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation.

ESSENTIAL FUNCTIONS

60% of job: Development

  • Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.
  • Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
  • Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
  • Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% of job: Continuous Improvement

  • Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
  • Implement and maintain machine learning pipelines, from data preprocessing to model deployment.
  • Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of job: Leadership and Relationships

  • Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
  • Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

 

MINIMUM REQUIREMENTS

Education: Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Education: Master’s Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field

Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles

Preferred Certifications:

  • Google Cloud Professional Data Engineer
  • Microsoft Certified Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning - Specialty

Behavioral Competencies:

  • Ability to analyze complex technical issues and create effective solutions
  • Ability to work cross-functionally with engineers, data scientists, and product teams
  • Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders
  • Open to new approaches and rapidly changing environments

Technical Competencies:

  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Strong background in programming languages like Python, Java, or C++
  • Experience with big data tools and technologies (e.g., Hadoop, Spark)
  • Experience with automating AI model training, deployment pipelines, and optimization processes
  • Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP
  • Experience in data preprocessing, feature extraction, and transforming raw data into usable formats
  • Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud
  • Proficient in software development practices, version control (Git), and testing frameworks
  • Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms

 

ENVIRONMENT OR PHYSICAL WORKING CONDITIONS

General office conditions apply. Light travel required.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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