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# Senior Specialist - Data Sciences

- **Company:** LTM Inc
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Cloud Platform System, Pytorch, Flask (Web Framework), Large Language Models, Deep Learning, Fastapi, Pandas, Containerization, Scikit Learn, Machine Learning Operations, GPT, Docker
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-specialist-data-sciences-houston-tx-usa-58819135

## About the Role

Experteer Overview As an AI Engineer, you will design, build, and deploy AI/ML solutions with a focus on large language models and generative AI. You will collaborate with a cross-functional team to translate research into production-ready systems on cloud platforms. You'll work with Python data science tooling, DL frameworks, and LLM tooling to deliver scalable AI capabilities. This is an opportunity to shape model deployment, APIs, and monitoring in a rapidly evolving AI landscape. Compensation / Benefits * Develop and productionize AI/ML models, including LLM-based solutions * Leverage LangChain, LlamaIndex and related tools to build and optimize LLM workflows * Train and deploy models on cloud platforms (GCP preferred) * Implement APIs for model access (e.g., FastAPI/Flask) and containerized services (Docker) * Contribute to MLOps practices including CI/CD, monitoring, and lifecycle management * Collaborate with team members and stakeholders to translate business needs into aaa
models solutions * Maintain and evaluate model performance through data analysis and experimentation Tasks * 3-5 years of professional AI/ML engineering experience * Hands-on experience with LLM frameworks and tools (LangChain, LlamaIndex) * Proficiency in Python and data science stack (Pandas, NumPy, Scikit-learn) * Experience with deep learning frameworks (TensorFlow or PyTorch) * Hands-on experience with a major cloud platform for training and deployment (GCP preferred) * Experience with containerization (Docker) and deploying models as APIs * Excellent communication and teamwork skills Key requirements *

## Description

Experteer Overview As an AI Engineer, you will design, build, and deploy AI/ML solutions with a focus on large language models and generative AI. You will collaborate with a cross-functional team to translate research into production-ready systems on cloud platforms. You'll work with Python data science tooling, DL frameworks, and LLM tooling to deliver scalable AI capabilities. This is an opportunity to shape model deployment, APIs, and monitoring in a rapidly evolving AI landscape. Compensation / Benefits * Develop and productionize AI/ML models, including LLM-based solutions * Leverage LangChain, LlamaIndex and related tools to build and optimize LLM workflows * Train and deploy models on cloud platforms (GCP preferred) * Implement APIs for model access (e.g., FastAPI/Flask) and containerized services (Docker) * Contribute to MLOps practices including CI/CD, monitoring, and lifecycle management * Collaborate with team members and stakeholders to translate business needs into technical solutions * Maintain and evaluate model performance through data analysis and experimentation Tasks * 3-5 years of professional AI/ML engineering experience * Hands-on experience with LLM frameworks and tools (LangChain, LlamaIndex) * Proficiency in Python and data science stack (Pandas, NumPy, Scikit-learn) * Experience with deep learning frameworks (TensorFlow or PyTorch) * Hands-on experience with a major cloud platform for training and deployment (GCP preferred) * Experience with containerization (Docker) and deploying models as APIs * Excellent communication and teamwork skills Key requirements *


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