Green Bridge Consulting LLP
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Machine Learning (ML)
Data Science
Deep Learningalong with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- Filter criteria –
- 7-8 years & above experience in Corporate Banking or allied areas (Mid-market, Commercial, Trade)
- Corporate relationship and Sales ownership experience
- Understanding of Corporate/ Commercial/ SME/ Trade Finance
- Individual needs to be self-driven, capable of working with minimum supervision
- This will be an acquisition and execution role, hence proven competency in these will be essential
- Job Role –
- Responsible for bringing in new client acquisitions and driving closure on mandates for the region
- Understanding the key offerings of the company platform and applicability across industries
- Marketing SCF solutions to Corporates and their Supply Chains
- Ability to engage with a wide set of stakeholders on the Corporate side and identify opportunities
- Engaging with the FI partners to activate and grow financing on the Network
- Working closely with the India Corporate Sales - Head and the Network Sales teams to achieve the KRAs for the region
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Founded in 2011, Poshmark started with a simple yet powerful idea in Manish Chandra's garage. Along with co-founders Tracy Sun, Gautam Golwala, and Chetan Pungaliya, Chandra envisioned a platform that would revolutionize how people buy and sell fashion. The inspiration came from seeing the potential of the iPhone 4 to create meaningful connections in the shopping experience.
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Poshmark is not just another e-commerce platform – it's a social marketplace that brings together shopping and community. Think of it as a place where social media meets shopping, allowing users to buy, sell, and discover fashion, home goods, and accessories. With over 80 million users , the platform has become a go-to destination for both casual sellers and entrepreneurial individuals looking to build their own digital boutiques.
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Today, under CEO Manish Chandra's leadership, Poshmark continues to innovate in the social commerce space, blending technology with community to create a unique shopping experience. The platform's success story is a testament to how combining social connections with commerce can create a powerful marketplace that resonates with modern consumers.
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