Description

Analyze complex datasets and build machine learning models to deliver predictive insights.

This role is on-site.

Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Develop, train, and fine-tune machine learning and deep learning models for predictive analysis.
• Perform feature engineering and evaluate model performance using appropriate metrics.
• Create data visualizations using Matplotlib, Seaborn, or Tableau to communicate findings.
• Maintain clear documentation of analysis processes, algorithms, and model architectures.

Required Skills

• 3+ years of experience as an AI or Data Engineer.
• Proficiency in Python with libraries such as NumPy, Pandas, and scikit-learn.
• Experience with deep learning frameworks: TensorFlow or PyTorch.
• Solid understanding of SQL for data extraction and manipulation.
• Strong grasp of ML algorithms including k-NN, Naive Bayes, SVM, and Decision Forests.
• Ability to perform feature engineering and statistical analysis.
• Excellent problem-solving skills and attention to detail.

Key Skills

Education

Any Gradute