AI/ML Engineer

Job Summary We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate will have expertise in machine learning, deep learning, large language models (LLMs), MLOps, cloud platforms, and data engineering. This role requires collaboration with cross-functional teams to build production-ready AI applications while ensuring scalability, security, and performance. Key Responsibilities • Design, develop, and deploy machine learning and deep learning models for production environments. • Build and optimize AI solutions using traditional ML algorithms, Generative AI, and Large Language Models (LLMs). • Develop data pipelines for collecting, processing, and transforming structured and unstructured data. • Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. • Create REST APIs and microservices to expose AI models for enterprise applications. • Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management. • Collaborate with software engineers, data engineers, data scientists, and business stakeholders to deliver AI-driven solutions. • Optimize model performance, scalability, accuracy, and inference latency. • Implement responsible AI practices, model governance, and security best practices. • Stay current with emerging AI technologies, frameworks, and industry trends. Required Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. • 5+ years of experience in Machine Learning, Artificial Intelligence, or Data Science. • Strong programming skills in Python. • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Hands-on experience with Large Language Models (LLMs), prompt engineering, and Generative AI. • Experience implementing Retrieval-Augmented Generation (RAG) solutions. • Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Milvus. • Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI. • Experience developing APIs using FastAPI, Flask, or similar frameworks. • Strong understanding of SQL and NoSQL databases. • Experience with Docker, Kubernetes, and CI/CD pipelines. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Excellent analytical, communication, and problem-solving skills. Preferred Qualifications • Experience with LangChain, LlamaIndex, or Semantic Kernel. • Experience with Azure OpenAI, OpenAI APIs, Anthropic Claude, or Google Gemini. • Knowledge of distributed computing frameworks such as Spark. • Experience with Databricks or Snowflake. • Familiarity with AI governance, responsible AI, and model monitoring. • AI/ML or Cloud certifications are a plus. Technical Skills • Python • Machine Learning • Deep Learning • Generative AI • Large Language Models (LLMs) • Prompt Engineering • Retrieval-Augmented Generation (RAG) • LangChain / LlamaIndex • TensorFlow • PyTorch • Scikit-learn • FastAPI / Flask • Docker • Kubernetes • MLflow / Kubeflow • SQL / NoSQL • Vector Databases • Git • REST APIs • AWS / Azure / Google Cloud Platform Work Environment • Hybrid/Onsite role based in Plano, TX. • Up to 25% travel to client locations • Opportunity to work on cutting-edge AI and Generative AI initiatives in a collaborative environment.