About the Role

Key Responsibilities
- Design, develop, and implement machine learning models covering supervised, unsupervised, and reinforcement learning approaches.
- Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets for model training.
- Conduct exploratory data analysis (EDA) using Pandas, NumPy, and Matplotlib to identify trends, patterns, and insights.
- Build, train, and evaluate ML models using Scikit-learn and TensorFlow, ensuring optimal accuracy and performance.
- Write clean, efficient, and well-documented Python code following best engineering practices.
- Collaborate with cross-functional teams to integrate ML models into existing products and workflows.
- Monitor deployed models for performance, retrain or fine-tune as required, and troubleshoot issues.
- Stay current with advancements in AI/ML tools, libraries, and techniques, and recommend adoption where beneficial.
- Document model architecture, experiments, methodology, and results for internal knowledge sharing.

Required Skills & Qualifications




- Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or a related field.
- Minimum 2 years of hands-on experience in AI/ML engineering, data science, or a related role.
- Strong proficiency in Python, with solid understanding of OOPs concepts.
- Working knowledge of C and C++ is a plus.
- Hands-on experience with Pandas and NumPy for data manipulation and numerical computing.
- Proficiency in Matplotlib for data visualization.
- Strong command of Scikit-learn for building classical machine learning models.
- Practical experience with TensorFlow for deep learning model development.
- Experience with OpenCV for computer vision and image-processing tasks.
- Solid understanding of Machine Learning concepts — Supervised, Unsupervised, and Reinforcement Learning.
- Robust skills in data cleaning and feature engineering to prepare datasets for modeling.
- Working knowledge of MySQL for d

📌 Ai/ml Engineer (Noida)
🏢 SINGH AMIT AND ASSOCIATES
📍 Noida