GenAI Engineer

Job Description Job Description Must be local - full onsite role No sponsorships available for this role Final in-person interview Location: Woodlawn, MD Key Required Skills: Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. Position Description: · 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. 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 12 years of overall experience in an IT related field (development background preferred) · 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. 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. · Masters or Doctorate degree may substitute for required experience · Minimum 12 years of overall experience in an IT related field (development background preferred) · 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.