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Hybrid mid-level ML role with generalist skills and metro context increases applicant competition.
Core ML skills are transferable, but sales/CRM domain experience increases role-specific bias.
Explicit 6+ years plus mandatory production ML, monitoring, and SQL/Python requirements tighten selection filters.
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Develop, maintain, and improve AI/ML models focused on sales use cases such as lead scoring, product recommendation, and seller prioritization.
Support development and evaluation of LLM and GenAI-enabled applications including prompt experimentation and model quality measurement.
Build and monitor end-to-end model pipelines, tracking performance, data quality, drift, and business impact, recommending improvements as needed.
6+ years total work experience.
Hands-on experience developing and deploying AI/ML models including maintenance, monitoring, and performance tracking in production.
Proficiency in SQL and Python for data extraction, feature engineering, modeling, and reporting.
Location: India with requirement to be work-from-office 2 days per week from a Persistent office.
Experienced ML Engineer skilled at translating business and data science requirements into scalable and reliable model solutions within sales-related domains.
Capable of partnering closely with data engineering and platform teams to construct robust training, scoring, validation, and monitoring pipelines.
Has strong communication skills to explain technical model aspects and business impacts to diverse stakeholders effectively.