
Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper

About Dori AI
About
At Dori, we develop platforms and services that enable artificial intelligence centered application development for mobile edge devices, embedded IoT devices, on-premise servers, and cloud platforms. The company provides a turnkey solution to add intelligence in applications by simplifying model development and deployment.
We have developed an AI-as-a-service platform that provides prebuilt and custom engines to evaluate, deploy, and monitor artificial intelligence systems for consumer and enterprise applications. Application developers can rapidly develop and deploy AI-enabled applications for multiple operating systems, hardware architectures, and cloud infrastructures.
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Store Manager (Apparel Industry)
Experience- 3yrs- 5 yrs
CTC- 5.4 LPA Max
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Notice Period- 15 Days Max
Responsibilities
- Oversee daily store operations and ensure smooth functioning.
- Manage and motivate store staff to meet and exceed sales goals.
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