Machine Learning Engineer

Role Overview

We are looking for a passionate Machine Learning Engineer to join our growing AI team. The ideal candidate should have knowledge of machine learning algorithms, Python programming, data analysis, and model development. Freshers with strong academic projects in Machine Learning or Artificial Intelligence are encouraged to apply. The role involves building, testing, and deploying machine learning models while collaborating with cross-functional teams to develop AI-powered solutions.

Responsibilities

• Develop, train, and evaluate machine learning models.
• Collect, clean, and preprocess structured and unstructured datasets.
• Perform feature engineering and data analysis to improve model performance.
• Build predictive models using machine learning algorithms.
• Deploy and monitor machine learning models in production environments.
• Collaborate with software developers, data engineers, and product teams.
• Optimize model accuracy, scalability, and performance.
• Document model development, testing, and deployment processes.
• Stay updated with the latest advancements in AI and Machine Learning.

Requirements

• Strong knowledge of Python programming.
• Understanding of Machine Learning algorithms and model evaluation.
• Basic knowledge of SQL and data preprocessing.
• Familiarity with NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Understanding of statistics and data visualization.
• Knowledge of Git is an added advantage.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Bachelor's degree in Computer Science, IT, AI, Data Science, or a related field.

Skills

• Python
• Scikit-learn
• TensorFlow
• SQL
• Pandas

Benefits

• Competitive salary package.
• Hands-on experience with AI and Machine Learning projects.
• Learning and career growth opportunities.
• Collaborative and innovative work environment.
• Paid leave and company benefits as per policy.