What are the responsibilities and job description for the Manager of Data and ML Infrastructure position at Foundation Finance Company Careers?
The Manager of Data and ML Infrastructure is responsible for designing, implementing, and maintaining scalable and secure data and machine learning/AI infrastructure to support the company’s data science and analytics teams.
This role will oversee data pipelines, model deployment frameworks, and infrastructure optimization while leading and mentoring a team of Data Analytics Engineers and Machine Learning/AI Engineers to drive innovation and operational efficiency within the organization and align strategic goals to ensure the successful execution of projects.
Essential Duties and Responsibilities include the following. Other duties may be assigned.
- Develop infrastructure such as microservices to streamline and support the deployment and operationalization of machine learning/AI models.
- Manage team to facilitate department objectives including mentoring, developing, and coaching.
- Design and maintain data pipelines, data lakes, and ML/AI model deployment frameworks.
- Lead the development of scalable and secure cloud-based infrastructure.
- Collaborate with cross-functional teams to understand infrastructure needs and deliver solutions.
- Automate data ingestion, transformation, and ML/AI workflow processes to improve efficiency.
- Ensure compliance with data governance policies and regulatory standards.
- Monitor and optimize infrastructure performance, scalability, and cost-efficiency.
- Stay updated on industry trends and emerging technologies to recommend and implement innovations.
- Other duties as assigned by management.
Must be able to come to work promptly and regularly. Must be able to take direction and work well with others. Must be able to work under the stress of deadlines. Must be able to concentrate and perform accurately. Must be able to react to change productively.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Data Engineering, or a related field
5 years’ experience in data engineering, ML infrastructure, or similar roles.
Minimum 2 years of experience managing or leading technical teams preferred.
Master’s degree preferred.
Relevant certifications in cloud platforms (AWS Certified Solutions Architect, GCP Data Engineer, etc.) are preferred but not required.