AI/ML Engineer

Client: USLBM | Engagement: C2C | Work mode: HYBRID | Rate: 60-80 USD | Experience: 15 | Visa types: H-1B | Publisher job id: JOB-1784668400502

Job Description:

AI/ML Engineer

?? Location: Plano, TX (Hybrid) ?? Duration: Long-Term Contract Client: EmergerTech - USLBM Job Overview

We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy enterprise-scale AI solutions. The ideal candidate will have hands-on experience developing production-ready AI applications, implementing MLOps best practices, and building scalable cloud-based machine learning systems. This role offers the opportunity to work on cutting-edge AI initiatives, including Generative AI, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and intelligent enterprise applications. Key Responsibilities Design, develop, train, and deploy scalable Machine Learning and Deep Learning models for production environments. Build AI-powered applications using traditional ML techniques, Generative AI, and Large Language Models (LLMs). Develop and optimize data pipelines for structured and unstructured data processing. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models. Build, automate, and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Collaborate with Data Scientists, Software Engineers, Data Engineers, and business stakeholders to deliver AI-driven solutions. Optimize model accuracy, scalability, inference performance, and latency. Implement AI governance, responsible AI practices, model monitoring, 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. 10+ years of hands-on experience in Artificial Intelligence, Machine Learning, or Data Science. Strong programming experience with Python. Experience with Machine Learning frameworks including TensorFlow, PyTorch, and 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 platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI. Experience building REST APIs using FastAPI, Flask, or similar frameworks. Strong understanding of SQL and NoSQL databases. Hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines. Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience with LangChain, LlamaIndex, or Semantic Kernel. Experience working with Azure OpenAI, OpenAI APIs, Anthropic Claude, or Google Gemini. Knowledge of distributed computing frameworks such as Apache Spark. Experience with Databricks or Snowflake. Familiarity with Responsible AI, AI Governance, 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 (Pinecone, FAISS, Chroma, Milvus) REST APIs Git CI/CD AWS / Azure / Google Cloud Platform