Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.
Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.
Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition
Natural language Processing and recommendation systems.
Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas
And optimizing queries for Efficient data retrieval.
Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.
Good knowledge model evaluation metrics and techniques.
Experience in deploying machine learning models to production environments.
Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.
Eligibility Criteria :–
Bachelor’s/Master’s Degree
Required Skills Set:-
Excellent in Python Coding
Excellent in Communication Skills
Good in Data modelling, popular machine learning libraries and framework
How to Apply:-
We’re committed to providing a supportive and simplified experience for our candidates throughout the application and assessment process. Here, you will find information about what to expect and some guidance around your assessment and interview.
While the application process depends on the role, there are some constant steps, which are;
Step 1 – Your application Step 2 – Your assessment Step 3 – Your interview Step 4 – Next steps
