Becoming a good machine learning engineer requires a combination of technical skills, practical experience, and certain personal qualities. Here are some key steps to help you become a successful machine learning engineer:

1. Solidify your foundation: Develop a strong understanding of mathematics, statistics, and programming concepts. Familiarize yourself with linear algebra, calculus, probability, and algorithms. Learn programming languages commonly used in machine learning such as Python or R.
    
2. Learn machine learning concepts and algorithms: Study the fundamental concepts of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction. Gain knowledge of popular machine learning algorithms like linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.
    
3. Gain hands-on experience: Practice is crucial. Work on real-world machine learning projects to apply your knowledge and gain practical experience. Experiment with different datasets, implement algorithms and evaluate model performance. Collaborate on Kaggle competitions or contribute to open-source projects to enhance your skills.
    
4. Understand data preprocessing and feature engineering: Learn how to preprocess and clean data, handle missing values, deal with outliers, and normalize or scale features. Master the art of feature engineering to extract meaningful information and create relevant input features for machine learning models.
    
5. Dive into deep learning: Explore deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep reinforcement learning. Understand their architectures, training processes, and applications in computer vision, natural language processing, and other domains.

Remember, becoming a good machine learning engineer is an ongoing journey. Embrace a mindset of continuous learning, curiosity, and a willingness to adapt to new technologies and challenges. By combining technical skills, practical experience, and a passion for innovation, you can excel in the field of machine learning engineering. To learn these technical skills you can enroll in a machine learning training institute.

If you want to learn deep learning skills there are numerous machine learning training institutes:

Uncodemy: Uncodemy is one of the top training institute providing Machine learning courses in Lucknow, Kanpur, Meerut, and other cities in India. The training provided is at par with current industry standards which helps one to achieve their goals and their dream jobs in top MNC companies.

CETPA: CETPA Infotech is a well-known training organization that offers courses in various technical domains, including machine learning. They have multiple centres across India, including Lucknow. The course is designed for beginners and individuals with basic programming knowledge who want to enter the field of machine learning.

Edureka: Edureka is an online learning platform that offers courses in machine learning and data science. They provide instructor-led live classes, hands-on projects, and an industry-relevant curriculum. Their courses cover a wide range of topics, including Python, R programming, machine learning algorithms, and model evaluation.