> Markdown version of [/jobs/ext/1484106-senior-specialist-data-sciences](https://www.wearedevelopers.com/jobs/ext/1484106-senior-specialist-data-sciences). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Specialist - Data Sciences - **Company:** LTM Inc - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $81,215.0 - $147,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Pytorch, Flask (Web Framework), Large Language Models, Deep Learning, Generative AI, Fastapi, Pandas, Containerization, Machine Learning Operations, Artificial Intelligence Markup Language (AIML), GPT, Docker - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=39160aed3d43d707 ## About the Role 3-5 years of professional experience in an AI or Machine Learning engineering role Handson experience with LLM frameworks and tools like LangChain LlamaIndex etc Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch Handson experience with a major cloud platform AWS Azure or GCP for training and deploying machine learning models GCP Preferred Experience with generative AI and Large Language Models LLMs Proficiency in data analysis statistical modeling and machine learning theory Experience with containerization technologies eg Docker and deploying models as APIs Excellent communication skills and a proven ability to collaborate effectively in a team environment Preferred Qualifications Experience deploying models using API frameworks such as FastAPI or Flask Knowledge of MLOps principles and tools for CICD model monitoring and lifecycle management A portfolio of projects or contributions to opensource AIML libraries Skills Mandatory Skills : Deep Learning - AIOPS, Machine Learning - AIOPS, Python - Data Science Other details ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)