
AI/ML Solutions Architect
1 week ago
The ideal candidate will have extensive experience in designing, developing, and deploying machine learning models, as well as expertise in cloud-based platforms. The individual will work closely with the data science team to gather insights from large datasets, and will leverage these findings to inform business strategy. This includes managing multiple projects simultaneously, communicating complex ideas to non-technical stakeholders, and ensuring alignment with company goals.
Responsibilities:
- Manage end-to-end machine learning projects from ideation to deployment
- Work closely with data scientists to analyze large datasets and extract meaningful insights
- Leverage machine learning algorithms to drive business growth and improve customer experiences
- Collaborate with cross-functional teams to ensure seamless project delivery
Requirements:
- Several years of experience in machine learning engineering
- Proven track record of designing, developing, and deploying machine learning models
- Expertise in cloud-based platforms (e.g., AWS, Google Cloud)
- Excellent communication skills and ability to communicate complex ideas to non-technical stakeholders
- Strong problem-solving skills and ability to manage competing priorities
Preferred Qualifications:
- Experience working with agile methodologies and iterative development
- Familiarity with containerization technologies (e.g., Docker, Kubernetes)
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