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Senior Machine Learning Engineer (Confluence Cloud AI)
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AI Summary
Seeking a Machine Learning Engineer to build and deploy AI solutions for enterprise performance, efficiency, and scalability. Focus on model development, production deployment, monitoring, and innovation with LLMs/multimodal techniques. Requires 3+ years of production ML experience, Python, PyTorch/TensorFlow, and distributed systems knowledge.
Key Highlights
3+ years of production ML experience required
Focus on LLMs, multimodal models, and enterprise scalability
Collaboration with software engineers for deployment and monitoring
Key Responsibilities
Develop and deploy ML models for enterprise use cases
Collaborate with software engineers on production deployment
Monitor and optimize model performance in real-time
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Technical Skills Required
Benefits & Perks
Early-stage equity
Comprehensive health insurance
Generous paid time off (PTO)
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Nice to Have
Experience optimizing models for size, cost, and latency
Research and innovation in modern AI techniques
Job Description
For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Enterprise Technology space.
This role will focus on building and deploying machine learning solutions that improve performance, efficiency, and scalability across complex enterprise use cases. You will partner closely with software engineers and cross-functional stakeholders to move models from experimentation into production. The position also emphasizes model evaluation, monitoring, and ongoing innovation with modern AI techniques to support business impact.
Responsibilities
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