AI/ML Product Manager

Summary

I have honed my skillsets at an intersection of Machine Learning, Product Management and Solutions Engg by creating measurable value for customers, consumers & internal stakeholders at Finra, Assurant, Cognizant & others.

Product Responsibilities:
Define Empathy Centric Machine Learning Product Vision, Roadmap and Metrics to enable Product-Led Advanced Analytics function
Enable ML Product Vision, roadmap from concept-to-launch including conceptualization of innovative & impactful AI-led features
Incorporate Build-Measure-Learn methodology in product execution to embrace failures, move fast to achieve product goals
Implement OKRs to drive results by focusing on impact and demonstrate bias towards action
Leverage data including Input & Output Metrics, Funnel analysis, Cohort Analysis, Instrumentation, CTR Analytics, Voice of customers to enable product decisions
Curate shared vision by fostering collaboration & influence without authority by leveraging storytelling

Expectations

AI ML Product Manager, Analytics Manager

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• ML Frameworks
• Scikit-learn
• TensorFlow
• Hugging Face
• Spark ML
• Opensource Python ML Libraries
• Tools
• Platforms
• Kubeflow
• TFX
• MLflow
• Dominos
• Databricks
• Feature Stores
• Feast
• Tecton
• Feasibility Only
• Cloud AI- AWS Sagemaker
• GCP
• Azure ML
• ML Disciplines
• Natural Language Processing
• NLP
• Transformer NN
• Semantics Search
• Knowledge Graph
• Graph Neural Networks
• DGL
• Recommenders
• Timeseries Forecasting
• Anomaly Detection
• Computer Vision
• Ensemble Learning
• Decision Trees