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AI / ML Engineer - Data Modelling & Statistical Analysis
AI / ML Engineer - Data Modelling & Statistical Analysis
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AI / ML Engineer - Data Modelling & Statistical Analysis

Manish Thakur's profile picture
Posted by Manish Thakur
3 - 5 yrs
₹6L - ₹12L / yr (ESOP available)
Remote, Mumbai
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconPython
NumPy
Keras
TensorFlow
skill iconDjango
RESTful APIs
ML / AI  engineer with hands-on experience of working with Time Series Data, layering of data and adopting complex parameters. At least 3-5 years of experience of working with customer data and handling ETL operations. Experience of converting machine learning models into APIs

Responsibilities

  1. Create data funnels to feed into models via web, structured and unstructured data
  2. Maintain coding standards using  SDLC, Git, AWS deployments etc
  3. Keep abreast of developments in the field
  4. Deploy models in production and monitor them
  5. Documentations of processes and logic
  6. Take ownership of the solution from code to deployment and performance

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About nymbleUP

Founded :
2019
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

NymbleUp provides Predictive Workforce Scheduling and Resource Planning solution for the retail industry NymbleUp was started with a vision to change retail industry by automating decision making in key aspects of retail operations using Artificial Intelligence. Our vision is to make adoption of cutting edge technologies easy, cost effective and non disruptive for any retailer regardless of their size and scale. Solutions Include Predictive workforce scheduling and planning Real Time Sales Management and Recommendation Engine Auto-Replenishment We are a team of engineers with hands-on experience in retail and technology. Since starting our operations in 2019, we are working with some of the most recognised retail brands globally
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