Machine Learning Engineer (Exp 0-3 Year)

Overview

At Lizmotors, we're at the forefront of the tech industry, creating innovative AI and machine learning solutions that are changing the game. Our team is made up of dedicated experts who live and breathe technology, always pushing the boundaries of what's possible. And now, we're looking for a bright and ambitious intern to join our ranks and help us shape the future of AI and machine learning. If you're excited about the prospect of working on revolutionary projects and contributing to the advancement of technology, we want to hear from you

Key Responsibilities:

• Design, develop, and train machine learning models using PyTorch and other relevant frameworks.
• Implement and experiment with different model training techniques, including supervised, unsupervised, and reinforcement learning.
• Preprocess and analyze large datasets to ensure high-quality inputs for model training.
• Optimize model performance through hyperparameter tuning, regularization, and other techniques.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Write clean, efficient, and well-documented code in Python.
• Utilize data structures and algorithms to solve complex problems efficiently.
• Work with databases to store, retrieve, and manipulate data for training and evaluation purposes.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Strong experience with PyTorch and Python programming.
• Hands-on experience in training machine learning models (academic, internship, or personal projects are acceptable).
• Solid understanding of data structures, algorithms, and database systems.
• Familiarity with different model training techniques (e.g., supervised, unsupervised, reinforcement learning).
• Basic knowledge of data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.

Preferred Qualifications:

• Experience with other machine learning frameworks (e.g., TensorFlow, Scikit-learn).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.
• Familiarity with version control systems (e.g., Git).
• Understanding of software development best practices and agile methodologies.

Job Type: Full-time

Pay: ₹400,000.00 - ₹900,000.00 per year

Schedule:

• Day shift
• Monday to Friday
• US shift

Supplemental Pay:

• Performance bonus

Work Location: Remote