- 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.

Eligibility:

- Has 7+ 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.

About Tredence

Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data

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