| GenAI Engineer at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2698048&uid=cee30d2239354869977e86f5eaf51177 From: PREETI, tekinspirations [email protected] Reply to: [email protected] Job Description - GenAI Engineer Onsite Woodland, MD (IN-PERSON INTERVIEW) Need local Need LinkedIn Must be able to obtain and maintain a Public Trust. Contract requirement. Need all ID documentation (visa, passport, DL, etc.) cannot expire in the next 6 months. Interview process will likely be, phone screen, MS Teams Interview and very likely an in-person interview. Selected candidate must be local and willing to work on-site in Woodlawn, MD 5 days a week. 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 imization: Adapting pre-trained generative models for specific tasks and datasets, imizing 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. Contract requirement. Keywords: continuous integration continuous deployment artificial intelligence information technology microsoft Idaho Maryland GenAI Engineer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2698048&uid=cee30d2239354869977e86f5eaf51177 |
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| 04:27 AM 21-Aug-25 |