Job Description of Machine Learning (ML) Analyst

Job Summary

A Machine Learning (ML) Analyst plays a vital role in leveraging AI-driven models to extract insights, automate processes, and enhance decision-making. They analyze large datasets, develop predictive models, and optimize machine learning algorithms to solve real-world business challenges. By collaborating with cross-functional teams, ML Analysts ensure that data-driven strategies align with business objectives. Their expertise in data preprocessing, model evaluation, and deployment helps organizations stay competitive in an increasingly AI-powered world.

Key Responsibilities:

• Analyze structured and unstructured data to identify patterns and trends for business insights.
• Develop, test, and optimize machine learning models to support predictive analytics.
• Collaborate with data scientists, engineers, and business teams to implement AI-driven solutions.
• Preprocess and clean large datasets to improve model accuracy and efficiency.
• Monitor model performance and fine-tune algorithms to ensure optimal results.
• Visualize data and present findings through dashboards and reports.
• Stay updated with the latest ML techniques, tools, and industry trends.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
• 2+ years of experience in machine learning, data analysis, or AI-related roles.
• Proficiency in Python, R, or SQL, along with ML libraries such as TensorFlow or Scikit-learn.
• Strong problem-solving and statistical analysis skills.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.

An ML Analyst transforms raw data into intelligent models, unlocking new opportunities and driving AI-powered innovation.