Description

• Analyze large and complex datasets to discover trends, patterns, and insights. Apply statistical methods and machine learning techniques to extract valuable information from data.
• Develop and implement machine learning algorithms and models for predictive and prescriptive analysis. Utilize deep learning techniques for complex data analysis tasks.
• Utilize Python programming language and libraries such as numpy and pandas to manipulate data, conduct analysis, and develop machine learning models.
• Create compelling data visualizations using tools such as Matplotlib, Seaborn, or Tableau to communicate complex findings effectively. Present data-driven insights to stakeholders.
• Identify relevant features and perform feature engineering to enhance the performance of machine learning models.
• Evaluate the performance of machine learning models using appropriate metrics. Fine-tune models for optimal results.
• Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand business requirements and provide data-driven solutions.
• Maintain detailed documentation of data analysis processes, algorithms, and models. Ensure that documentation is clear, concise, and accessible to relevant team members.

What you’ll need:

• 3 years as AI Engineer with expertise in Python, deep learning, algorithms, numpy, and data visualization tools.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Proficiency in Python programming and libraries such as numpy, pandas, and scikit-learn.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong SQL skills
• Strong mathematical and analytical skills.
• Excellent problem-solving abilities and attention to detail.
• Effective communication and presentation skills

Key Skills

Education

Any Gradute