Developing and implementing Machine learning solutions.
Python 4 to 8 yrs of hands-on python experience in modules like numpy, pandas, SciPy, Sci-Kit Learn, Matplotlib, seaborn. Experience in writing and debugging object-oriented code.
SQL: Intermediate knowledge of SQL Experience in writing Views, joins and aggregate functions.
Data Science/ML experience: 4 to 8 yrs of professional experience of sing classification, regression and forecasting algorithms including pre and post processing steps like - data cleaning, feature engineering, charting and report generation. Candidates must know in-depth working of algorithms.
2+ yrs of experience in deep learning models. Proficiency in handling large datasets and using ML toolkits such as PyTorch, TensorFlow, etc.
Statistics: Good knowledge of basic statistics such as hypothesis testing, sampling, familiarity with distribution.
Git: 2yrs experience of using Git.
Excellent communication and presentation skills.
Good to have: Understanding of Large Language models and experience in solving NLP based problems.
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Software Development - Other Employement Type: Full time