Overview
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
50% Travel
Skills
Gen ai
Job Details
Job Title: Generative AI / Machine Learning Engineer
Location: Dallas, TX
Key Responsibilities:
- Design and develop generative AI models using LLMs (e.g., GPT, LLaMA), diffusion models, or GANs.
- Fine-tune foundation models (OpenAI, Hugging Face, etc.) for specific domain applications.
- Build and deploy ML pipelines and APIs for inference at scale.
- Collaborate with data scientists, product managers, and software engineers to deliver AI-driven solutions.
- Optimize model performance and reduce latency and cost.
- Conduct research and implement state-of-the-art methods in NLP, computer vision, or multimodal AI.
Required Skills:
- Proficiency in Python, with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI API.
- Experience with foundational models (GPT, BERT, T5, Stable Diffusion, DALL E, Midjourney, etc.)
- Understanding of ML lifecycle, including data preprocessing, training, validation, and deployment.
- Familiarity with cloud platforms (AWS/Google Cloud Platform/Azure) and MLOps tools (MLflow, Vertex AI, SageMaker, etc.)
- Experience in building prompt engineering solutions or RAG (Retrieval Augmented Generation) systems is a plus.
Preferred Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Published work in AI/ML conferences or strong GitHub contributions.
- Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Knowledge of ethical AI practices and bias mitigation strategies.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.