Parsons is looking for an AI Engineer to develop and support internal AI/ML/IA use cases and contribute to the build-out of their Internal AI program.
Requirements
- Proficiency in Python, R, or other programming languages commonly used in machine learning.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deep learning libraries.
- Familiarity with Snowflake Cortex AI features or Databricks ML Ops tools (MLFlow, workflows).
- Knowledge of agentic AI frameworks and open-source packages like LangGraph and LangFlow.
- Experience with CI/CD pipelines and GitHub Copilot for code development and deployment.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
- Experience with Snowflake’s latest AI features is a plus.
Responsibilities
- Machine Learning Development: Build and optimize machine learning models, including ARIMA, regression, classification models, LDA, topic modeling, and other statistical techniques to support internal use cases.
- Deep Learning Model Training: Develop and fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), to address complex business challenges.
- AI/ML Operations: Utilize Snowflake Cortex AI features (or Databricks ML Ops tools such as MLFlow and workflows) to deploy and manage machine learning pipelines.
- Agentic AI Solutions: Implement agentic AI frameworks using open-source packages like LangGraph and LangFlow to enable intelligent automation.
- CI/CD Integration: Collaborate with development teams to integrate machine learning workflows into CI/CD pipelines using GitHub Copilot and other tools.
- Business Analysis: Leverage prior business analysis experience to understand stakeholder requirements, translate them into technical solutions, and ensure alignment with organizational goals.
Other
- 3-5 years of experience in machine learning, data science, or AI development.
- Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Previous experience in business analysis or working directly with stakeholders to define requirements.
- None
