Key Responsibilities:
• Lead the design and development of machine learning models for anomaly detection and predictive analytics
• Train, evaluate, and optimize ML models for performance and scalability
• Partner with engineering, architecture, and project management teams to deliver data-driven solutions
• Provide technical leadership and mentorship to junior team members
• Contribute to the evaluation and implementation of AI-driven monitoring tools
• Work across large-scale database environments to extract, transform, and analyze data
• Support both on-prem and cloud-based data platforms
• Help establish and maintain best practices and development standards
Required Qualifications
• 10+ years of experience
• Experience using Database technologies on a daily basis (e.g., Oracle, SQL Server, or similar)
• Strong experience with machine learning (ML) and artificial intelligence (AI)
• Familiarity with cloud-based AI tools (e.g., AWS Bedrock or similar platforms)
• Experience working with infrastructure, servers, and networking concepts
• Hands-on experience with anomaly detection and predictive analytics
• Proven experience building and training ML models in production environments
• Excellent communication skills with the ability to explain complex concepts clearly
Preferred Qualifications
• Experience working in large-scale enterprise environments
• Exposure to data warehousing solutions such as Amazon Redshift
• Experience with additional databases such as MongoDB, Teradata, or Redis
• Background supporting or partnering with DBA or application development teams
Location: St. Louis, Missouri, US
Qualifications:
- 10+ years of experience
- Experience using Database technologies on a daily basis (e.g., Oracle, SQL Server, or similar)
- Strong experience with machine learning (ML) and artificial intelligence (AI)
- Familiarity with cloud-based AI tools (e.g., AWS Bedrock or similar platforms)
- Experience working with infrastructure, servers, and networking concepts
- Hands-on experience with anomaly detection and predictive analytics
- Proven experience building and training ML models in production environments
- Excellent communication skills with the ability to explain complex concepts clearly
Responsibilities:
- Lead the design and development of machine learning models for anomaly detection and predictive analytics
- Train, evaluate, and optimize ML models for performance and scalability
- Partner with engineering, architecture, and project management teams to deliver data-driven solutions
- Provide technical leadership and mentorship to junior team members
- Contribute to the evaluation and implementation of AI-driven monitoring tools
- Work across large-scale database environments to extract, transform, and analyze data
- Support both on-prem and cloud-based data platforms
- Help establish and maintain best practices and development standards
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