Biocube Technologies Solutions Expert

5 days ago


Noida, Uttar Pradesh, India Vivirooms Ecomm Pvt Ltd Full time
Company Overview: Vivirooms Ecomm Pvt Ltd is a leading innovator in biometrics and identity platforms, leveraging cutting-edge AI technologies to drive business growth and enhance operational efficiency.

About the Job: We are seeking a talented AI Software Developer to join our dynamic team and contribute to the development of innovative AI solutions that will shape the future.

We estimate the salary for this position to be around ₹1,500,000 - ₹2,500,000 per annum, based on industry standards and location. The exact salary will be discussed during the interview process.

Job Description:

As a Data Scientist at Vivirooms Ecomm Pvt Ltd, you will utilize advanced statistical methods and deep learning/machine learning techniques to analyze large datasets and extract valuable insights. You will develop predictive models and algorithms to support business decision-making, demonstrating expertise in the Biometrics domain or similar industry, understanding the nuances of data and business requirements.

You will conduct effective feature engineering and data preprocessing to ensure high-quality input for machine learning models, working with real-world data to derive meaningful features for analysis. Your strong programming skills in languages such as Python, R, or similar, along with your knowledge of developing REST APIs and frameworks like Flask/FastAPI, will enable you to implement and deploy machine learning models, contributing to codebase maintenance.

Collaborating with cross-functional teams, you will define data requirements and deliver solutions that meet business objectives, communicating findings and insights to both technical and non-technical stakeholders. Your ability to evaluate model performance using appropriate metrics and iterate models for continuous improvement will be crucial in optimizing/quantizing models for scalability and efficiency in real-world applications. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies for efficient data processing and analysis will be an added advantage.

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