At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.
Requirements
- Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects.
- Must be proficient in Python, with strong coding practices for scalability and reproducibility. Familiarity with R is a plus.
- Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
- Demonstrated experience manipulating structured and unstructured data for analysis.
- Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. Ability to implement and modify complex neural network architectures.
- Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
- Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc.
Responsibilities
- Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
- Manage datasets, perform data cleaning, and preprocessing to ensure high-quality inputs for model training.
- Conduct experiments to test hypotheses and refine models based on performance metrics.
- Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
- Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
- Ability to leverage and integrate various data management tools at scale – cloud experience preferred.
- Support an Agile software development lifecycle.
Other
- Ability to hold a position of public trust with the US government.
- Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline.
- 5-7 years of industry experience developing ML/AI solutions and a passion for solving complex problems.
- Excellent communication and customer service skills
- As part of the application process, you are expected to be on camera during interviews and assessments.
