Brief description :
- Familiarity with machine learning and deep learning models (e.g., TensorFlow, Keras, PyTorch).
- Problem-Solving Skills: Ability to analyse and solve programming problems using Python.
- Basic knowledge in Data Science including but not limited to ETL, EDA, Data Processing, Visualization etc.
- Familiarity with Jira and Agile methodology will be an added advantage.
- Experience working with SQL DMBS like PostgreSQL is a plus.
- Basic understanding of Natural Language Processing (NLP) concepts
- Strong knowledge of statistical concepts and techniques.
- Knowledge in data visualization tools (Tableau, Power BI, etc.) and SQL.
- Proficiency in Python programming with a strong grasp of core concepts.
- Basic Data Structures and Algorithms: Familiarity with common data structures (lists, dictionaries, tuples) and basic algorithms (sorting, searching) is advantageous.
- Understanding of Object-Oriented Programming (OOP): Basic understanding of OOP principles like classes, objects, inheritance, and encapsulation
- Knowledge of Python frameworks like Django
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills.
- Certification or experience Machine learning, AI is an added advantage
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Experience: 0 to 2 yrs. (Freshers can apply)
Package- 4-6 LPA
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Key : Python, Basic Data Structures, TensorFlow, PyTorch, Natural Language Processing (NLP), Data Science, Sklearn, Django, Prompt Engineering