Senior AI Engineer

Goldenpick Technologies

Job Location:

Houston, TX - USA

Monthly Salary: Not Disclosed

Posted on: 10 days ago

Vacancies: 1 Vacancy

Job Summary

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

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 enterp...

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