Description

You will design, develop, and deploy machine learning models for real-world applications.

Responsibilities

• Implement, test, and optimize algorithms to improve model efficiency and accuracy.
• Evaluate model performance using statistical and ML metrics to drive improvements.
• Generate actionable insights from data and communicate findings to stakeholders.
• Stay updated with advancements in AI/ML frameworks, tools, and research trends.
• Adapt to new technologies and methodologies aligned with industry needs.

Required Skills

• Proficiency in Python.
• Experience with ML frameworks including TensorFlow, PyTorch, and scikit-learn.
• Hands-on use of Pandas and NumPy.
• Working knowledge of SQL.
• Experience with Power BI.
• Strong understanding of machine learning algorithms and deep learning concepts.
• Solid grasp of statistical methods and data analytics.
• Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 0–2 years of experience in machine learning or data analytics.

Key Skills

Education

Any Graduate