Job Description
AI Engineering Tech Lead
- Title of Role: AI Engineering Tech Lead
- Location: San Francisco, hybrid
- Company Stage of Funding: Series A — Software Development
- Office Type: Hybrid
- Salary: $210K–$250K
We're representing a dynamic software development firm focused on delivering innovative engineering insights for enterprises. Our client is leveraging cutting-edge technologies to enhance data-driven decision-making and streamline operations. With a strong emphasis on machine learning and AI, this company is poised for significant growth in the tech landscape.
What You Will Do
- Lead the design and implementation of machine learning models using Python, NumPy, and Pandas.
- Develop and maintain robust APIs with GraphQL and REST to support data integration.
- Utilize MLflow for managing the machine learning lifecycle, ensuring efficient model tracking and deployment.
- Oversee containerization and orchestration of applications using Docker and Kubernetes.
- Collaborate with cross-functional teams to align engineering efforts with business objectives.
- Drive best practices in software development and machine learning engineering to enhance product quality.
- Mentor junior engineers and contribute to a culture of continuous learning and improvement.
Ideal Candidate Background
- 5+ years of experience in machine learning engineering or a related field.
- Proficient in Python and familiar with data manipulation libraries such as NumPy and Pandas.
- Experience with developing and consuming APIs using GraphQL and REST.
- Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
- Proven ability to lead engineering projects and work collaboratively in a team environment.
Preferred
- Experience with MLflow or similar tools for managing machine learning workflows.
- Familiarity with enterprise software development practices and agile methodologies.
- Background in AI, Devtools, or data-centric applications.
Compensation and Benefits
The base salary for this role ranges from $210K to $250K, complemented by competitive equity options. This is an exciting opportunity to join a growing company at the forefront of technology innovation.