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Tensorflow Engineer Jobs in Texas (NOW HIRING)

... frameworks (TensorFlow, PyTorch) or scientific computing. • Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) Company : Allen Control Systems develops autonomous defense ...

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit ... GCP Professional Machine Learning Engineer certification is required. Experience with version ...

Senior Computer Vision Engineer ID72408

Dallas, TX · On-site

$103K - $142K/yr

You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML ... Engineers located in the US must reside in Dallas, TX, and be open to working from the office ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a ... such as TensorFlow, PyTorch, or scikit-learn. • Strong understanding of machine learning ...

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

TensorFlow, PyTorch, Scikit-learn * AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

TensorFlow, PyTorch, Scikit-learn * AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Tensorflow / PyTorch * Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). * Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have ...

Engineering / R&D Employment Type: Full-time Reports To: Director of Robotics or Engineering ... Experience with autonomous navigation, SLAM, or computer vision (OpenCV, PCL, TensorFlow/PyTorch)

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments ... Familiarity with ML frameworks like TensorFlow or scikit-learn. * Strong analytical and problem ...

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Tensorflow Engineer information

See Texas salary details

$30.7K

$87.6K

$135.6K

How much do tensorflow engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for tensorflow engineer in Texas is $87,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,100.00 per year, depending on experience, location, and employer.
What cities in Texas are hiring for Tensorflow Engineer jobs? Cities in Texas with the most Tensorflow Engineer job openings:
AI ML engineer with Agentic AI experience

AI ML engineer with Agentic AI experience

Emergere Technologies

Plano, TX • On-site

Other

Posted 16 days ago


Job description

Position: AI ML engineer with Agentic AI experience
Location: Plano, TX (3 days per week hybrid onsite)
 
Job Profile:
An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases (Primarily AI). Knowledge of Computer vision related projects.
LLM Expertise:
  • Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks.
    • Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
    • Structured prompt templates
    • Refinement (prompt chaining, decomposition, and verification strategies)
    • Safety, Guardrails & Compliance
  • Experience building conversational flows (chatbots).
Retrieval-Augmented Generation (RAG):
  • Work with embedding models, vector databases, context windows, and chunking strategies
  • Work experience in Vector database (FAISS, Milvus, Pinecone or any)
Machine Learning:
  • Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems.
  • Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks.
  • Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.
Software Engineering:
  • Python proficiency
  • Very good understanding and work experience with REST APIs, JSON, YAML.
  • Ability to integrate LLM prompts into production applications.
  • Familiarity with Git, version control, and experiment tracking.