Data Scientist - Machine Learning

Qualifications :

• Strong problem solving skills with an emphasis on product development.
• A drive to learn and master new technologies and techniques.
• Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets.
• Experience working with different data architectures. Knowledge and experience in statistical and data mining techniques.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks.
• Prior experience in working on zero touch solutions can be an advantage
• We're looking for someone with 8-12 years of experience manipulating data sets and building statistical models, has a Bachelors or master's in computer science or another quantitative field, and is familiar with the following software :
• Must have hands-on experience on ML & MLOps
• Coding knowledge and experience with several languages Python, R
• Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc.
• Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience in using different types of Databases - RDBMS, Graph, No-SQL etc.
• Strong experience in Generative AI

Role & Responsibility :

1. Design production grade AI / ML solutions

2. Collaborate with verticals for AI use case discovery & solutions

3. Identify common components and enablers for AI / ML, GenAI

4. Define best practices for AI / ML development, usage and roll out

5. Hands on development of prototypes

(ref : hirist.tech)