Data Scientist - Machine Learning Models (1-5 yrs)

Requirements :

- Bachelor's/Master's degree in computer science (or similar degrees).

- Good grasp of a variety of topics in Deep Learning, Machine Learning, Computer Vision, etc.

- Familiarity with tools like SQL, Python, PyTorch, Tensorflow, etc.

- Strong understanding of Statistics and Linear Algebra. Strong understanding of hypothesis/model testing.

- Proficiency in machine learning algorithms.

- Excellent analytical skills to fetch data from reliable sources to generate accurate insights.

- Experience in tech and product teams is a plus.

Responsibilities :

Data Analysis and Modeling :

- Utilize advanced statistical methods and deep learning/machine learning techniques to analyse large datasets and extract valuable insights.

- Develop predictive models and algorithms to support business decision-making.

Domain Expertise :

- Demonstrate expertise in the Biometrics domain or similar industry, understanding the nuances of data and business requirements.

- Apply data science techniques to address specific challenges within the domain.

Feature Engineering and Data Preprocessing :

- Conduct effective feature engineering and data preprocessing to ensure high-quality input for machine learning models

- Good Knowledge of object detection and computer vision is required.

- Work with real-world data to derive meaningful features for analysis.

Coding Proficiency :

- Exhibit strong programming skills in languages such as Python, R, or similar.