Machine Learning Architect
Project Management & Business Development:
- Lead periodical client communications and building the collaterals required (Reports, PPT, visualizations) and plan out the Call for Weekly, Monthly and Quarter cadence calls with different levels of stakeholders
- Adhere to the existing business processes to ensure smooth and on time delivery and productionization by following client processes and documentation
- Monitor the delivery across multiple teams and manage the delivery smoothly to meet milestones and promised target date
- Continuously identify new opportunities and help to genuinely solve problems for clients and help realize the impact.
- Scale the opportunities and help scale our revenue with a proper long term and short-term roadmap
- Build good client relationship with empathy and impact realization from the value add provided (Value over PPT)
- Manage three types of teams: Data Science, MLOps and Support teams
- Work on RFPs, Proposals, SOW, Documentation, Budget and Resourcing etc.
Technology:
- Has 6+ years in Data Science, Machine Learning, and demand forecasting
- Has 4+ years of Cloud experience in Azure, Azure DevOps, Databricks, Azure Data Factory - Azure based ML Architecture
- Hand on experience in Python, PySpark, SQL, OOPs concepts
- Has 2+ years in MLOps technologies like CI/CD, ML Optimization, Code modularization, ML monitoring (PowerBI, Drift detection, model metrics) etc.
- Has exposure to multiple open-source MLOps tools and libraries
- Knows OOPs concepts and capable to take code review and Architecture review for ML based solutions
- Technical problem solving from a DS, DE and DevOps point of view
- Understanding the business problem at hand and then solving using technology
- Capable to plan out new model development within the same business
- Continuous Evaluation of ML Solutions and suggesting changes proactively to improve model performance
- Best Disaster Recovery practices to be implemented and continuously improved.
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