Senior AI Engineer
| Company | Reply |
|---|---|
| Location | Detroit, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Proven experience in AI-related projects.
- Strong understanding of programming principles and data structures.
- Proficiency in at least one programming language, such as Python.
- Strong knowledge in at least one of the following areas: Generative AI services (e.g., OpenAI, Bedrock) or Computer Vision.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with version control systems like Git.
- Basic understanding of data analysis techniques and statistical methods.
- Strong problem-solving and analytical abilities.
Responsibilities
- Lead complex AI projects and manage a team of professionals.
- Support the planning and execution of data migration and integration initiatives.
- Assist in the design, development, and maintenance of data pipelines and ETL workflows.
- Work closely with data engineers and scientists to build and enhance machine learning models.
- Perform exploratory data analysis to extract meaningful insights from large datasets.
- Contribute to the development and deployment of AI-driven applications and services.
- Test and validate algorithms and models to ensure accuracy and optimal performance.
- Document findings and effectively communicate insights to cross-functional teams.
- Stay informed on emerging trends and advancements in data science and AI.
Preferred Qualifications
- Experience with data manipulation and visualization libraries such as Pandas, NumPy, and Matplotlib.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Understanding of data preprocessing techniques and feature engineering.
- Snowflake experience