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Tensor Jobs in Florida (NOW HIRING)

... AI โ€ข Tensor Flow, Azure Machine Learning Studio or similar tools Company : QDStaff connects iGaming and video game studios with game industry talent through recruiting and staffing services.

... AI โ€ข Tensor Flow, Azure Machine Learning Studio or similar tools Company : QDStaff connects iGaming and video game studios with game industry talent through recruiting and staffing services.

GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation. * Advanced cloud ...

GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation. * Advanced cloud ...

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Tensor information

What are Tensor jobs?

Tensor jobs typically refer to roles involving the use or development of tensors, which are mathematical objects used in machine learning and deep learning. These jobs often include positions like machine learning engineer, data scientist, or deep learning researcher, where working with tensor-based libraries such as TensorFlow or PyTorch is common. Responsibilities may include designing and training neural networks, processing multidimensional data, and optimizing machine learning models for performance. Candidates for these roles usually need a strong background in mathematics, programming, and data analysis.

What is the best job for an Overthinker?

A role as a Tensor involves working with machine learning models and data analysis, which can suit overthinkers who enjoy problem-solving and detailed work. Such jobs often require strong analytical skills, patience, and attention to detail, and may involve working independently or in research environments. Tasks may include developing algorithms, testing models, and optimizing performance, making it suitable for those who prefer thoughtful, methodical work.

What is a Tensor job?

A Tensor job typically refers to a role involving tensors, which are mathematical objects used in machine learning, AI, and scientific computing. These jobs often require expertise in deep learning frameworks like TensorFlow or PyTorch, where tensors represent multi-dimensional arrays for data processing. A Tensor job can involve designing and optimizing neural networks, performing large-scale data analysis, or working with high-performance computing.

What is the difference between Tensor vs Data Scientist?

AspectTensorData Scientist
Required CredentialsKnowledge of machine learning, programming skills, often a degree in computer science or related fieldsDegree in statistics, computer science, or related fields; strong analytical skills
Work EnvironmentTech companies, AI research labs, software development teamsBusiness, finance, healthcare, and tech industries analyzing data to inform decisions
Industry UsagePrimarily in AI, machine learning, and deep learning projectsAcross industries for data analysis, predictive modeling, and insights

While a Tensor is a fundamental data structure used in machine learning frameworks like TensorFlow, a Data Scientist analyzes data to extract insights and build models. Tensors are tools that Data Scientists often work with, but they are not roles themselves. Understanding tensors is essential for Data Scientists involved in AI and machine learning projects.

What are some common challenges faced by TensorFlow Developers when working on large-scale machine learning projects?

TensorFlow Developers often encounter challenges such as optimizing model performance for large datasets, managing distributed training across multiple GPUs or TPUs, and ensuring reproducibility of experiments. Collaboration with data engineers and DevOps teams is essential to streamline data pipelines and deployment workflows. Staying up to date with frequent updates in the TensorFlow ecosystem and best practices for model optimization is also crucial for success in this role.

What are the key skills and qualifications needed to thrive as a Tensor?

I'm sorry, but 'Tensor' is not recognized as a real-world professional occupation.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and software developer. These roles typically require knowledge of deep learning, programming in Python, and experience with neural networks and model deployment.

What jobs pay 4000 a week without a degree?

Jobs that can pay around $4,000 a week without a degree often include skilled trades such as commercial truck driving, where long-haul drivers can earn high wages with proper licensing, or specialized roles like real estate agents with successful sales. High-paying freelance or entrepreneurial work, such as consulting or starting a small business, can also reach this income level, but typically require experience, skills, and effort to achieve consistent earnings.

Which 3 jobs will survive AI?

Tensor professionals, such as data scientists, AI researchers, and machine learning engineers, are likely to continue thriving as their roles involve complex problem-solving, creativity, and domain expertise that are difficult for AI to fully replicate. These jobs require advanced skills in programming, statistical analysis, and understanding of AI tools, making them more resilient to automation. Continuous learning and staying updated with emerging technologies are essential for long-term career stability in these fields.
What are popular job titles related to Tensor jobs in Florida? For Tensor jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Tensor jobs in Florida look for? The top searched job categories for Tensor jobs in Florida are:
Infographic showing various Tensor job openings in Florida as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL โ€ข On-site

Contractor

Re-posted 28 days ago


Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr- /hr MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Basking Ridge, NJ- 100% onsite
Duration: 6 months
skill id: 10772179
Agentic AI, Python, LangChain, Vector databases, RAG pipelines, API integration
Role Descriptions:
Design| develop| and implement machine learning and AI models for business applications.
Build and optimize deep learning| NLP| or computer vision models depending on project requirements.
Deploy models into production using APIs| microservices| or cloud platforms.
Work with large datasets to clean| preprocess| and engineer features.
Monitor and maintain model performance| retraining when necessary.
Collaborate with cross-functional teams including product managers and data engineers.
Research and apply the latest developments in AI and machine learning.
Ensure scalability| security| and reliability of AI solutions.
Required Skills-
Technical Skills-Strong programming skills in Python (preferred) or Java C Experience with machine learning frameworks such as Tensor Flow Torch Scikit-learn
Knowledge of deep learning| NLP| computer vision| or generative AI
Role Descriptions:
Key Responsibilities:
โ€ข AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
โ€ข Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
โ€ข Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
โ€ข Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
โ€ข LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
โ€ข Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.
Required Technical Skills:
โ€ข Languages: Expert-level Python (strong hands-on coding) and advanced SQL.
โ€ข Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
โ€ข Databases: ElasticSearch, NoSQL, and Neo4j.
โ€ข AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
โ€ข Backend: Proven experience with FastAPI or Flask for production APIs.
โ€ข Web: Familiarity with React and Node.js for full-stack AI integration.
Qualifications:
โ€ข Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
โ€ข Proven track record of deploying LLM-based applications to production.
โ€ข Strong understanding of vector embeddings, semantic search, and RAG architectures.
โ€ข Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps)., Project Code :