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Senior AI Engineer

Goldenpick Technologies LLCHouston, TX🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

As a Senior AI Engineer at Goldenpick Technologies LLC, you'll drive innovation by developing cutting-edge AI/ML models and integrating them into cloud platforms. This on-site role in Houston, TX, offers a fantastic opportunity to deepen your expertise in NLP, computer vision, and MLOps, collaborating with a dynamic technology team. If you're passionate about pushing the boundaries of AI and eager to make a significant impact, we encourage you to apply.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Senior AI Engineer
Location - Houston, TX (onsite)
 
 
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

Skills

Docker
Microservices
SQL
Scala
AWS
ETL
MLOps
Machine Learning
NLP
NumPy
Scikit-learn
Azure
Computer Vision
Deep Learning
Git
GitHub Actions
GitLab CI
Hugging Face
Java
Jenkins
Pandas
PyTorch
Python
TensorFlow

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