Description

You will design, build, and deploy machine learning models and data pipelines to drive business decisions.

This role is on-site.

Responsibilities

• Collect, clean, and preprocess large datasets from multiple sources.
• Build predictive and prescriptive models using statistical techniques and deep learning.
• Develop and deploy data models and automation pipelines in production environments.
• Perform exploratory data analysis to uncover insights and trends.
• Evaluate model performance and fine-tune parameters for optimal results.

Required Skills

• 4+ years of experience in data science or analytics.
• Proficiency in Python, R, and SQL.
• Strong command of Machine Learning and Deep Learning frameworks.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Hands-on work with Pandas and NumPy for data manipulation.
• Knowledge of Big Data tools like Spark and Hadoop.
• Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).

Preferred Skills

• Experience with NLP, Computer Vision, or Generative AI projects.
• Familiarity with AutoML tools and advanced statistical modeling.

Key Skills

Education

Any Graduate