Jr. AI/ML Python Engineer

Experience Level - 0 to 2 Years Location - Pune Role Summary The Entry-Level AI/ML Python Developer will assist the Senior Data Science and Engineering teams in building, training, and deploying robust machine learning models and data-driven solutions. This role is ideal for a recent graduate with strong foundational knowledge in Python programming, core ML algorithms, and a passion for data analysis and innovation. Key Responsibilities * Data Pipeline Assistance: Help with data collection, cleaning, and preprocessing tasks. * Model Development Support: Assist in the development, training, and evaluation of machine learning models. * Code Development: Write clean, efficient, and well-documented Python code. * Documentation: Document code, model performance, and project progress. * Research and Learning: Stay updated with the latest AI/ML trends, algorithms, and techniques. * Collaboration: Work closely with senior team members to understand project requirements and goals. * Experimentation: Conduct experiments, analyze results, and contribute to model improvements. Qualifications * Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. * Programming Skills: Strong proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy). * ML Knowledge: Solid understanding of core machine learning concepts and algorithms (e.g., Regression, Classification, Clustering). * Data Analysis: Experience with data analysis and visualization tools. * Communication: Excellent written and verbal communication skills. * Problem-solving: Strong analytical and problem-solving abilities. * Passion: A strong interest in AI/ML and a desire to learn and grow in the field. Bonus Points * Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). * Familiarity with cloud platforms (e.g., AWS, Azure, GCP). * Experience with version control systems (e.g., Git). * Knowledge of database systems and SQL. Benefits * Competitive Salary * Health Insurance * Paid Time Off * Professional Development Opportunities