Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and especially transformer-based models (like those behind LLMs).
Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets, optimizing their performance, efficiency, and the quality of their generated output.
Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design).
Build AI pipelines: Creating the infrastructure and workflows for data preparation, model training, deployment, and ongoing monitoring of generative AI systems.
Integration: Incorporating generative AI models into existing software applications and products.
Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques.
Ethical considerations: Understanding and addressing potential biases, misuse, and ethical implications of generative AI.
All other duties as assigned or directed.
Skills Requirements:
FOUNDATION FOR SUCCESS(Basic Qualifications)
?Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
Masters or Doctorate degree may substitute for required experience
Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred)
Must be able to obtain and maintain a Public Trust. Contract requirement.
*** Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week. ?FACTORS TO HELP YOU SHINE(Required Skills) These skills will help you succeed in this position:
Strong foundation in Machine Learning, Deep Learning, and neural networks (GANs, VAEs, Transformers, LLMs).
Proficiency in programming languages, especially Python, and relevant libraries (Scikit-Learn, TensorFlow, PyTorch, Keras).
Expertise in Natural Language Processing (NLP) for text and language generation.
Data management, preprocessing, and feature engineering skills.
Expertise with prompt engineering techniques for guiding AI models.
Experience with cloud-based AI platforms (AWS, Azure).
Knowledge of software development best practices, including CI/CD pipelines, version control, and testing.
Problem-solving, analytical, and critical thinking skills.
Strong communication and collaboration abilities.
Understanding of AI ethics and responsible AI development.
HOW TO STAND OUT FROM THE CROWD(Desired Skills) Showcase your knowledge of modern development through the following experience or skills:
Prior experience with federal or state governments IT projects.
Familiarity with various LLM models available in the market
Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses
Experience integrating GenAI models and services into existing applications using APIs?
Education:
Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
Must be able to obtain and maintain a Public Trust. Contract requirement
