Description

Key Skills: Algorithms, SQL, Python, Data Science, ML, AWS, Time Series Analysis, Azure, Pytorch, NLP, GCP, Tensorflow

Roles and Responsibilities:

• Develop and iterate on machine learning models using regression, classification, and clustering approaches.
• Perform data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for modeling.
• Build end-to-end ML pipelines covering training, validation, evaluation, and deployment readiness.
• Apply model evaluation and tuning techniques to improve performance and reliability.
• Work with large datasets using SQL and implement SQL tuning to optimize query performance.

Skills Required:

• 4 - 12 years of relevant experience in data science and machine learning.
• Python with NumPy and Pandas for data processing and model development.
• Machine learning algorithms for regression, classification, and clustering.
• Statistics and probability fundamentals for modeling and analysis.
• SQL proficiency for working with large datasets and SQL tuning for performance.

Good to Have:

• Deep learning exposure with TensorFlow or PyTorch.
• Domain experience in NLP or time series analysis.
• Cloud familiarity with AWS, Azure, or GCP.

Education: B.E., B.Tech, B. Sc., M. Tech, M.E., or M.Sc. in Computer Science, Engineering, or related fields

Key Skills

Education

Any Graduate