> Markdown version of [/jobs/ext/2915354-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2915354-ai-ml-engineer). 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). --- # AI/ML Engineer - **Company:** Raas Infotek LLC - **Location:** Dallas, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, SQL Databases, Google Cloud, Enterprise Software Applications, Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Model Validation, Generative AI, Git, AI Platforms, Scikit Learn, Kubernetes, HuggingFace, Integration Frameworks, Machine Learning Operations, Terraform, Software Version Control, Docker - **Published:** September 15, 2026 - **Apply:** https://www.dice.com/job-detail/b5863dab-5cab-4c91-98d4-0ae550146258 ## About the Role We are looking for an experienced AI/ML Engineer with 12+ years of experience in designing, developing, and deploying machine learning and AI solutions. The ideal candidate should have strong hands-on experience with Python, machine learning, deep learning, generative AI, cloud platforms, and MLOps., * 12+ years of experience in AI/ML Engineering, Machine Learning, Data Science, or related fields. * Strong programming experience with Python. * Hands-on experience with Machine Learning and Deep Learning. * Strong experience with PyTorch, TensorFlow, Scikit-learn, or equivalent frameworks. * Experience with Generative AI, LLMs, NLP, RAG, embeddings, and vector databases. * Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms. * Strong understanding of MLOps, ML pipelines, model deployment, and monitoring. * Experience with Docker, Kubernetes, Git, CI/CD, and cloud environments. * Strong experience with AWS, Azure, or Google Cloud Platform. * Experience with SQL, Spark, and large-scale data processing. * Strong understanding of AI/ML algorithms, statistics, model evaluation, and optimization. * Excellent communication and problem-solving skills. Preferred Skills * Experience with LangChain, LlamaIndex, Hugging Face, MLflow, Kubeflow, or similar frameworks. * Experience building AI agents and enterprise GenAI applications. * Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or pgvector. * Experience with Terraform/IaC and cloud-native architecture. * Experience with AI governance, security, and responsible AI practices., * 12+ Years of Experience Required * Strong hands-on AI/ML and Generative AI experience preferred. * Candidates must have strong communication skills and be able to work in a US client environment. ## Description * Design, develop, and deploy scalable AI/ML models and solutions for enterprise applications. * Develop machine learning models using Python, PyTorch, TensorFlow, and Scikit-learn. * Work with Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions. * Build and optimize AI/ML pipelines for training, validation, deployment, and monitoring. * Develop solutions using LLM APIs, embeddings, vector databases, prompt engineering, and AI agents. * Implement MLOps practices for model versioning, CI/CD, deployment, monitoring, and governance. * Work with cloud AI/ML services across AWS, Azure, or Google Cloud Platform. * Process and analyze large datasets using SQL, Spark, and Python-based data processing frameworks. * Collaborate with data engineers, software engineers, architects, and business stakeholders. * Optimize models for performance, scalability, accuracy, and production readiness. * Ensure AI solutions follow enterprise security, privacy, and responsible AI standards. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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