Trademo - Data Scientist - Artificial Intelligence/Machine Learning

2 weeks ago

gurugram, India Trademo Full time

About Trademo

Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, CA. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. Trademo analyzes and performs advanced data processing on billions of data points using technologies like Graph databases, NLP and Machine Learning to build end-to-end visibility on Global Supply Chains. Trademo's vision is to build a single truth on global supply chains to help large and small businesses - discover new commerce opportunities, ensure compliance with trade regulations and build operational resilience.

Trademo last closed its $12.5 mn Seed Round from marquee Silicon Valley VCs. Trademo has been founded by Shalabh Singhal who is a third-time tech entrepreneur. Shalabh last co-founded ZipLoan. ZipLoan is a leading fintech lending startup in India. He earlier founded Credence, a Data-driven Digital Marketing, CRM Product and Sales Solutions company. Shalabh is an Alumni of Goldman Sachs, IIT BHU, CFA Institute USA and Stanford GSB SEED.

Tech is the DNA of Trademo , 40+ technologists and researchers who have been building next- generation high-impact products from India to the world. Our tech members have been part of making some great startups in India like - UrbanCompany, Licious, Naukri, Netomi, Myntra, Delhivery etc. We are further expanding our team and looking for a tech disruptor/problem solver who can be part of this making from India to the world journey.

Location : Gurgaon (work from office)

Qualification :

- B.Tech, M.Tech, MSc or PhD in Computer Science, AI/ML, Mathematics, Statistics, or other relevant Fields.

- Deep understanding of Data Science, Statistics, Applied mathematics,

- Ability to communicate complex data insights and results to non-technical stakeholders

- Must have Knowledge in Python, PyTorch and databases (Like Nosql, graph databases )

- Data Manipulation Libraries: data manipulation libraries such as Pandas and NumPy.

- Knowledge on Machine Learning and Deep Learning, Reinforcement Learning , NLP, GNN, CNN, and LLM

- Familiarity with LLMs and transfer learning models.

- Experience with RAG techniques and LLM finetuning.

- Data Visualization: Skills in data visualisation tools such as Matplotlib, Seaborn, or Plotly for conveying insights effectively.

(ref:hirist.tech)

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