Data Scientist - Machine Learning

<p>Qualifications :<br/><br/>- Strong problem solving skills with an emphasis on product development.

<br/><br/>- A drive to learn and master new technologies and techniques.

<br/><br/>- Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets.

<br/><br/>- Experience working with different data architectures.

Knowledge and experience in statistical and data mining techniques.

<br/><br/>- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

<br/><br/>- Prior experience in working on zero touch solutions can be an advantage <br/><br/>- 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:<br/><br/>- Must have hands-on experience on ML & MLOps<br/><br/>- Coding knowledge and experience with several languages Python, R <br/><br/>- Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc.

<br/><br/>- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

<br/><br/>- Experience in using different types of Databases - RDBMS, Graph, No-SQL etc.

<br/><br/>- Strong experience in Generative AI <br/><br/>Role & Responsibility :<br/><br/>1.

Design production grade AI/ML solutions<br/><br/>2.

Collaborate with verticals for AI use case discovery & solutions<br/><br/>3.

Identify common components and enablers for AI/ML, GenAI<br/><br/>4.

Define best practices for AI/ML development, usage and roll out<br/><br/>5.

Hands on development of prototypes</p> (ref:hirist.tech)