Visionary Innovative Technology Solutions LLC

AI/ML Engineer with Gen AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with Gen AI, based in Irving, TX, on a contract basis. Requires 9+ years in AI/ML, 1–2 years in Generative AI, strong Python skills, and experience with cloud platforms and MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Monitoring #TensorFlow #Scala #AI (Artificial Intelligence) #Datasets #Model Deployment #Deployment #Cloud #Data Pipeline #Python #PyTorch #Deep Learning #NLP (Natural Language Processing) #DevOps #Docker #Data Engineering #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Libraries #SageMaker #Model Evaluation #Azure #Data Science #Model Optimization #Programming #API (Application Programming Interface) #AWS SageMaker #Hugging Face #Langchain #Transformers #AWS (Amazon Web Services) #Computer Science #Kubernetes #A/B Testing
Role description
Role: AI/ML Engineer with Gen AI Location: Irving, TX Duration: Contract Job Summary We’re seeking an experienced AI/ML Engineer with hands-on expertise in Gen AI to design, develop, and deploy advanced machine learning models and intelligent systems. The ideal candidate will have a strong foundation in data science, deep learning, and LLM (Large Language Model) integration, along with experience building and scaling AI-powered applications in production environments. Key Responsibilities • Design, develop, and fine-tune Gen AI models using frameworks like OpenAI, Hugging Face, LangChain, or similar. • Build, train, and deploy machine learning and deep learning models for NLP, computer vision, or recommendation systems. • Integrate LLMs and AI models into enterprise applications via APIs and custom workflows. • Collaborate with data engineers and product teams to define data pipelines, preprocess datasets, and optimize model performance. • Develop scalable AI solutions using Python, TensorFlow, PyTorch, and cloud-based ML services (AWS Sagemaker, Azure ML, or GCP Vertex AI). • Implement prompt engineering, model evaluation, and A/B testing to measure model effectiveness. • Work closely with DevOps/MLOps teams to automate deployment and monitor AI systems in production. • Stay current with new AI/ML research, frameworks, and tools to enhance solution capabilities. Required Skills & Experience • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. • 9+ years of experience in AI/ML engineering, including at least 1–2 years in Generative AI or LLM-based development. • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. • Hands-on experience with OpenAI API, Hugging Face Transformers, LangChain, or similar frameworks. • Experience with data preprocessing, feature engineering, and model optimization. • Proficiency with cloud platforms (AWS, Azure, or GCP) for model training and deployment. • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for ML model deployment. • Solid understanding of MLOps principles and best practices for versioning, monitoring, and scalability.