Dcode Talent

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.