... tensor parallelism, continuous batching, PagedAttention, KV-cache optimization, and model ... incident response ✅ Proven success managing production LLM environments for performance ...
... tensor parallelism, continuous batching, PagedAttention, KV-cache optimization, and model ... incident response ✅ Proven success managing production LLM environments for performance ...
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... tensor-network methods for code construction and decoding, and resource estimation for fault ...
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... tensor-network methods for code construction and decoding, and resource estimation for fault ...
Postdoctoral Associate
Blacksburg, VA · On-site
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... Expertise in reinforcement learning and/or tensor networks are preferred. Other responsibilities ...
Postdoctoral Associate
Blacksburg, VA · On-site
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... Expertise in reinforcement learning and/or tensor networks are preferred. Other responsibilities ...
Postdoctoral Associate
Blacksburg, VA · On-site
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... Expertise in reinforcement learning and/or tensor networks are preferred. Other responsibilities ...
Postdoctoral Associate
Blacksburg, VA · On-site
Research Faculty Senior management: College of Science Department: Physics Location: Blacksburg ... Expertise in reinforcement learning and/or tensor networks are preferred. Other responsibilities ...
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
Data Scientist - Tech - Top Secret required to apply - DC area
Reston, VA · On-site
$165K - $175K/yr
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
Data Scientist - Tech - Top Secret required to apply - DC area
Reston, VA · On-site
$165K - $175K/yr
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
Data Scientist - Tech focus - Top Secret required to apply - DC area
Reston, VA · On-site
$165K - $175K/yr
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
Quick apply
Data Scientist - Tech focus - Top Secret required to apply - DC area
Reston, VA · On-site
$165K - $175K/yr
... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep Neural Network library (cuDNN), and OpenCV)) and ...
Customer Engineer, AI Infrastructure, Google Public Sector with Security Clearance
Reston, VA · On-site
$112K - $147K/yr
... Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution. * Manage the holistic research engineering ...
Customer Engineer, AI Infrastructure, Google Public Sector with Security Clearance
Reston, VA · On-site
$112K - $147K/yr
... Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution. * Manage the holistic research engineering ...
Customer Engineer, AI Infrastructure, Google Public Sector
Reston, VA · On-site
$111K - $146K/yr
... Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution. * Manage the holistic research engineering ...
Customer Engineer, AI Infrastructure, Google Public Sector
Reston, VA · On-site
$111K - $146K/yr
... Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution. * Manage the holistic research engineering ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
Manager Tensor information
What is the difference between Manager Tensor vs Data Scientist?
| Aspect | Manager Tensor | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Analytics, or related fields; certifications like TensorFlow Developer are common | Bachelor's or Master's in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist are common |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in tech or AI-focused companies | Analyzes data, builds models, reports insights in tech, finance, healthcare industries |
| Employer & Industry Usage | Used in AI, machine learning, and tech companies for managing TensorFlow projects | Used across industries for data analysis, predictive modeling, and research |
The main difference is that a Manager Tensor oversees AI projects involving TensorFlow, focusing on team management and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Manager Tensor role emphasizes leadership and project management within AI initiatives.
What are the key skills and qualifications needed to thrive as a Manager Tensor, and why are they important?
To thrive as a Manager Tensor (commonly referred to as a TensorFlow Manager or Machine Learning Manager), you need a solid background in machine learning, deep learning frameworks (especially TensorFlow), and experience leading technical teams, typically backed by a relevant degree. Proficiency with TensorFlow, Python, data engineering tools, and cloud platforms, along with certifications in machine learning, are highly valued. Leadership, strong communication, and project management skills help you effectively guide teams and collaborate with stakeholders. These skills ensure successful project delivery, innovation, and alignment with organizational goals in complex AI-driven environments.
What are some common challenges faced by a Manager Tensor when leading AI and machine learning teams?
A Manager Tensor often encounters challenges such as balancing technical leadership with strategic oversight, managing projects that involve complex and evolving technologies, and ensuring effective communication among data scientists, engineers, and stakeholders. Additionally, staying current with rapid advancements in AI frameworks and guiding the team through best practices can be demanding. Collaboration across multidisciplinary teams and aligning projects with business objectives are also key aspects of the role.
What is a Manager Tensor?
A Manager Tensor is typically a managerial position responsible for overseeing teams that develop and implement machine learning models using TensorFlow or similar tensor-based frameworks. This role involves coordinating data science and engineering teams, ensuring project goals align with business objectives, and facilitating the deployment of scalable AI solutions. Additionally, a Manager Tensor may be tasked with mentoring staff, managing resources, and staying updated with the latest advancements in artificial intelligence. The position requires strong leadership, technical expertise in machine learning, and experience with deep learning platforms.
What cities in Virginia are hiring for Manager Tensor jobs? Cities in Virginia with the most Manager Tensor job openings:
Other
Posted 10 days ago
Job description
LLMOps Engineer | Top Secret Clearance required - Chantilly VA Salary to 250K and great benefits! Are you passionate about building and operating production-scale Large Language Model infrastructure? We're looking for an experienced LLMOps Engineer to help deploy, optimize, and scale self-hosted AI platforms. What we're looking for:
✅ Deep understanding of LLM internals (Transformers, tokenization, inference, quantization, fine-tuning)
✅ Hands-on experience with vLLM deployment and production operations
✅ Kubernetes, Docker, GPU clusters, and AWS, Azure, or GCP
✅ Expertise serving open-weight models like Llama, Mistral, and Qwen
✅ Experience with tensor parallelism, continuous batching, PagedAttention, KV-cache optimization, and model quantization (AWQ, GPTQ, FP8)
✅ Strong DevOps background with CI/CD, Infrastructure as Code, observability, monitoring, and incident response
✅ Proven success managing production LLM environments for performance, reliability, scalability, and cost efficiency If you've been responsible for keeping a live, self-hosted LLM platform running at peak performance, we'd love to hear from you. 📩 Contact Debbie at The Josef Group, to learn more about this exciting opportunity.
✅ Deep understanding of LLM internals (Transformers, tokenization, inference, quantization, fine-tuning)
✅ Hands-on experience with vLLM deployment and production operations
✅ Kubernetes, Docker, GPU clusters, and AWS, Azure, or GCP
✅ Expertise serving open-weight models like Llama, Mistral, and Qwen
✅ Experience with tensor parallelism, continuous batching, PagedAttention, KV-cache optimization, and model quantization (AWQ, GPTQ, FP8)
✅ Strong DevOps background with CI/CD, Infrastructure as Code, observability, monitoring, and incident response
✅ Proven success managing production LLM environments for performance, reliability, scalability, and cost efficiency If you've been responsible for keeping a live, self-hosted LLM platform running at peak performance, we'd love to hear from you. 📩 Contact Debbie at The Josef Group, to learn more about this exciting opportunity.
About Josef Group
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