Note: The job is a remote job and is open to candidates in USA. Mindlance is a company focused on enabling scalable machine learning workflows and infrastructure. They are seeking a Senior Software Development Engineer to work on core MLOps and ML infrastructure systems that support researchers and engineers, ensuring efficient and standardized ML workflows.

Responsibilities

• Scalable ML workflows and pipelines
• ML infra
• Efficient automation of ML workflows
• Robust data sampling / feature generation platforms
• Standardized training and deployment
• GKE training and serving infra
• Knowledge distillation pipelines
• Foundational training tools

Skills

• 5-10+ years in large-scale ML systems
• Deep ML + MLOps/infra + large scale + distributed systems expertise
• Hands-on MLEs with proven large-scale ML platform experience
• Ownership-driven, pragmatic, fast-moving, strong collaborator with research + engineering
• Reliability and consistency focus
• Scalability mindset
• Cost awareness
• Methodical approach
• Large scale ML/AI companies (Google, Meta, Amazon, Microsoft)

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