Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models and systems that solve real-world problems. They work on data preprocessing, feature engineering, model selection, training, evaluation, and production deployment, collaborating closely with data scientists and software engineers.

Relevant Subjects

Machine Learning Data Science Deep Learning Probability & Statistics Programming (Python/Java/C++) Data Structures & Algorithms Big Data Technologies Software Engineering

Required Skills

Data Preprocessing Model Development ML Libraries (scikit-learn, TensorFlow, PyTorch) Feature Engineering Model Deployment (Flask, FastAPI, Docker) Cloud Platforms (AWS, GCP, Azure) Problem Solving Collaboration

Career Path

ML Intern
Junior ML Engineer
Machine Learning Engineer
Senior ML Engineer
ML Architect/Lead
Head of Data Science/AI

Salary Range

₹10,00,000 - ₹45,00,000 per annum (depending on experience, expertise, and organization)

Industry Demand

Machine Learning Engineers are highly sought after in industries like technology, finance, healthcare, e-commerce, and automotive. Their expertise is essential for building intelligent systems, automating processes, and extracting insights from large datasets.

Work Environment

Machine Learning Engineers typically work in multidisciplinary teams with data scientists, software developers, and domain experts. The role involves research, prototyping, model optimization, and deploying scalable solutions in production environments.