Role: Sr AI Engineer Location: Houston TX Project descriptionWe 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
Technical Skills - 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