AI/ML Engineer

Job Title: AI/ML Engineer with GenAI

Location: Plano, TX Onsite

Duration: 12+ Months W2 Contract

Role Overview

Experienced AI/ML Engineer with hands-on experience in Generative AI to design, develop, and deploy advanced machine learning models and AI-powered applications.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Generative AI models in production environments.
• Work with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Fine-tune pre-trained foundation models using supervised and reinforcement learning techniques.
• Develop prompt engineering strategies for improved model performance.
• Implement scalable AI services using cloud platforms (AWS/Azure/Google Cloud Platform).
• Build APIs and microservices to integrate AI capabilities into enterprise applications.
• Ensure responsible AI practices including bias mitigation, model explainability, and governance.
• Monitor model performance and continuously improve accuracy and efficiency.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field.
• 10+ years of experience in Machine Learning and Deep Learning.
• Strong proficiency in Python and ML frameworks such as:
• TensorFlow / PyTorch
• Scikit-learn
• Hugging Face Transformers
• Hands-on experience with Generative AI and LLMs.
• Experience building RAG architectures using vector databases (FAISS, Pinecone, Weaviate, etc.).
• Knowledge of embeddings, semantic search, and prompt engineering.
• Experience with REST APIs, Docker, Kubernetes.
• Understanding of MLOps and model lifecycle management.
• Experience with cloud AI services (AWS SageMaker, Azure OpenAI, Vertex AI).