AI/ML Engineer

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