ML Engineer

Job Summary

We are looking for a motivated ML Engineer (Fresher) to support the development, training, and evaluation of machine learning models. This role is ideal for students or recent graduates with a strong foundation in Python and machine learning concepts who want to start their career in applied ML.

Key Responsibilities

• Assist in building, training, and evaluating machine learning models using Python.
• Support data collection, cleaning, and preprocessing for ML projects.
• Help implement models using libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Perform exploratory data analysis (EDA) and visualize results.
• Support testing and validation of model performance and accuracy.
• Document model experiments, results, and processes.
• Learn to work with structured and unstructured datasets under guidance from senior engineers.
• Collaborate with the data/engineering team on ML project requirements.

Required Qualifications

• Bachelor's degree (completed or pursuing) in Computer Science, Data Science, Statistics, or related field.
• 0–1 years of experience (internships/academic projects welcome).
• Strong foundation in Python programming.
• Understanding of core ML concepts (supervised/unsupervised learning, regression, classification).
• Basic knowledge of libraries like NumPy, Pandas, Scikit-learn.
• Familiarity with statistics and linear algebra fundamentals.
• Exposure to ML projects through coursework, internships, or personal projects.

Preferred Skills

• Personal or academic ML projects (Kaggle competitions, capstone projects, etc.).
• Basic knowledge of deep learning frameworks (TensorFlow/PyTorch).
• Familiarity with SQL and data handling.
• Understanding of Jupyter Notebooks and data visualization tools (Matplotlib/Seaborn).

Familiarity with Git/GitHub.

Pay: ₹15,000.00 - ₹30,000.00 per month

Work Location: Remote