Job Description:
• Architect, develop, and manage machine learning systems that enable real-time, personalized decision-making
• Lead the creation of ML pipelines, online inference services, and decision-time scoring logic
• Design and manage end-to-end machine learning systems
• Build and operationalize models such as propensity or likelihood prediction
• Apply AI-assisted and agentic approaches to boost ML engineering productivity
• Develop and sustain robust MLOps practices
• Serve as the technical leader for ML engineering
Requirements:
• 8+ years of experience in machine learning engineering, applied ML, or data-driven platform development
• 3+ years in a technical lead or senior ML engineering capacity
• Deep expertise in: Feature engineering and data pipelines
• Model training and evaluation
• Real-time or near-real-time inference systems
• Strong software engineering skills in Python, Java, or similar languages
• Practical experience with AI-assisted development tools to streamline ML workflows
Benefits:
• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance and many other opportunities
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Apply Now