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Flexible Java Machine Learning Jobs in Houston, TX

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

AI/ML Model Development Design, develop, and optimize machine learning and deep learning models ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in the design ...

EOG Resources, Inc.

Data Engineer II

Houston, TX

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in the design ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in the design ...

Yantran LLC

Customer Delivery Head

Texas City, TX · On-site

... Java, or C++. Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). Strong understanding of machine learning algorithms, data structures, and software ...

Peterson Technology Partners

Sr. MLOps Engineer

Spring, TX · On-site

$110K/yr

Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ... AI-Assisted Interview Experience (Pete & Gabi Rebecca) To provide a consistent, fair, and flexible ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Collaborate closely with business analysts, data scientists, machine learning engineers, and ... Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala ...

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Flexible Java Machine Learning information

See Houston, TX salary details

$14

$54

$73

How much do flexible java machine learning jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for flexible java machine learning in Houston, TX is $54.14, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $60.62 per hour, depending on experience, location, and employer.

What is the difference between Flexible Java Machine Learning vs Java Data Scientist?

AspectFlexible Java Machine LearningJava Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Java programming skills; Machine Learning certificationsBachelor's or higher in Data Science, Statistics, or related; Java programming skills; Data analysis certifications
Work EnvironmentSoftware development teams, AI/ML projects, tech companiesData analysis teams, research labs, analytics departments
Employer & Industry UsageTech firms, startups, AI-focused companiesFinancial, healthcare, e-commerce, and research organizations

Flexible Java Machine Learning specialists focus on developing machine learning models using Java, often integrating into software applications. Java Data Scientists analyze data and build models, sometimes using Java but often with other tools. Both roles require programming skills and work in tech-driven industries, but their primary focus differs: development versus analysis.

What cities near Houston, TX are hiring for Flexible Java Machine Learning jobs? Cities near Houston, TX with the most Flexible Java Machine Learning job openings:
Flexible Java Machine Learning jobs near you

Senior AI Engineer

Goldenpick Technologies

Houston, TX • On-site

$99K - $137K/yr

Contractor

Posted 15 hours ago

Job description

Project description
We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions. This role requires strong expertise in developing predictive models, implementing AI-powered applications, and integrating them into enterprise systems. The ideal candidate combines deep technical proficiency with practical experience in cloud platforms and production-grade AI systems.
 
Responsibilities
  • AI/ML Model Development
  • Design, develop, and optimize machine learning and deep learning models
  • Build NLP, computer vision, or predictive analytics solutions
  • Train, test, and evaluate models for accuracy, scalability, and performance
  • Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases
  • Data Engineering & Processing (Optional)
  • Collect, clean, and preprocess structured and unstructured datasets
  • Work with large-scale data pipelines and streaming data systems
  • Implement feature engineering and data transformation workflows
  • Deployment & MLOps
  • Deploy models into production using APIs, containers, or microservices
  • Work with DevOps to build CI/CD pipelines for ML workflows (MLOps)
  • Monitor model performance, drift, and reliability in production
  • Optimize latency, throughput, and cost efficiency
  • Cloud & System Integration
  • Integrate AI solutions into cloud platforms (AWS)
  • Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs
  • Collaborate with DevOps, backend, and frontend teams for implementation
  • Research & Innovation
  • Stay up to date with emerging AI technologies and frameworks
  • Evaluate and implement GenAI, LLMs, and prompt engineering techniques
  • Prototype and experiment with new AI-driven solutions
 
Skills Must have
  • Programming: Python (preferred), Java, or Scala
  • ML Frameworks: 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
  • APIs & Microservices development
  • Version control (Git)
  • Cloud & DevOps
  • Experience with AWS
  • Containers: Docker, ECS/EKS
  • CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)
  • Data & Systems
  • Databases: SQL, NoSQL
  • Familiarity with data pipelines and ETL processes (Optional)
  • Understanding of distributed systems