Machine Learning Engineer

About the Role

We are looking for a motivated and enthusiastic Machine Learning Engineer - Fresher who is passionate about artificial intelligence, data-driven solutions, and machine learning technologies. The ideal candidate should have a good foundation in Python, a basic understanding of machine learning concepts, and a willingness to learn and develop intelligent applications. You will work with experienced team members to support machine learning model development, data preparation, model evaluation, and implementation while gaining practical experience with real-world projects.

Key Responsibilities

• Assist in developing, training, testing, and evaluating machine learning models.
• Collect, clean, preprocess, and analyze datasets for machine learning applications.
• Apply machine learning algorithms to classification, regression, clustering, and prediction tasks.
• Write clean, efficient, maintainable code in Python using relevant libraries.
• Work with libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.
• Assist in evaluating model performance using appropriate metrics and validation techniques.
• Support feature engineering, exploratory data analysis, and data visualization.
• Collaborate with developers and data teams to understand project requirements.
• Assist in integrating machine learning models into applications and APIs.
• Document experiments, model results, and development processes.
• Research emerging machine learning techniques and contribute to continuous improvement.
• Follow coding standards, testing practices, and version control procedures.

Requirements & Tech Stack

• Basic to intermediate knowledge of Python programming.
• Understanding of fundamental machine learning concepts and algorithms.
• Familiarity with NumPy, Pandas, and Scikit-learn.
• Basic knowledge of statistics, probability, and linear algebra.
• Understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with supervised and unsupervised learning techniques.
• Basic knowledge of SQL and database concepts.
• Familiarity with Git/GitHub and version control.
• Strong analytical, problem-solving, and debugging skills.
• Good communication skills and ability to work collaboratively.
• Willingness to learn new technologies and adapt to project requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field (B.Tech, B.E., BCA, MCA, or equivalent).
• Academic projects, internships, or personal projects involving machine learning or data science.
• Familiarity with TensorFlow, PyTorch, or other deep learning frameworks.
• Basic understanding of neural networks and deep learning concepts.
• Experience using Jupyter Notebook or Google Colab.
• A GitHub portfolio or project samples demonstrating practical machine learning skills.