GenAI Engineer
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Welcome to Sky Solutions, LLC, a dynamic Digital Transformation Firm nestled in the vibrant heart of the Washington D.C. Metro Area. We specialize in empowering leading organizations in the Financial Services and Healthcare sectors, achieving remarkable business outcomes through cutting-edge Digital Process Automation (DPA) and innovative Low-Code/No-Code Application Development. Sky Solutions is certified Small Disadvantaged Business (SDB) with Minority Owned certifications. Embark on our journey of innovation and transformation, where your skills align seamlessly with our commitment to excellence.
Job Title: GenAI Engineer
Duration: Long term
Location: Woodlawn, MD (Onsite 5 days a week)
Note: Selected candidate must be 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 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.
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.
The selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
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.
Desired 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.
- Location:
- Gwynn Oak
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