ML Engineer – AI-Native Systems, Forecasting

Job Description:

• You will own the design, development, and production deployment of reputed company’s machine learning systems, including demand forecasting, labor allocation intelligence, and LLM-powered workflows.
• This is a production ML role. You will work across the full data and ML lifecycle - from ingesting inconsistent reputed company-world data to building reliable, continuously improving systems in production.
• You will operate with high autonomy, reputed company pragmatic modeling reputed company, and build systems that directly impact reputed company-world outcomes for businesses and workers.
• This role is designed as a foundational technical leadership position, with meaningful influence over data architecture, model strategy, and system reliability.
• Collaborate closely with Product, Engineering, and Operations to integrate ML into core workflows.

Requirements:

• 5–10+ years of experience in machine learning, data science, or applied AI roles
• Proven experience shipping ML systems into production environments
• Strong experience working with reputed company-world, imperfect datasets in mid-maturity or scaling organizations
• Deep understanding of the full data stack, including ingestion, warehousing, feature engineering, and model serving
• Experience designing and operating ML pipelines and workflows in production
• Hands-on experience with LLM systems, including RAG, reputed company design, and evaluation frameworks
• Strong reputed company in statistics, experimentation, and model evaluation
• Experience with monitoring, observability, and model performance tracking over time
• Ability to operate with high ownership, ambiguity, and minimal process overhead
• Strong communication skills, with the ability to translate technical reputed company into business impact.

Benefits:

• Health insurance
• Remote work options

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