Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models and systems. They work on data preprocessing, feature engineering, model selection, training, evaluation, and deployment, collaborating with data scientists and software engineers to create scalable AI solutions for real-world problems.

Relevant Subjects

Machine Learning Deep Learning Artificial Intelligence Probability & Statistics Programming (Python/Java/C++) Data Structures & Algorithms Data Engineering Cloud Computing

Required Skills

Data Preprocessing Model Development ML Libraries (scikit-learn, TensorFlow, PyTorch) Model Deployment (Flask, FastAPI, Docker) Feature Engineering Model Evaluation Problem Solving Collaboration

Career Path

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

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 such as technology, finance, healthcare, automotive, and e-commerce. Their expertise is vital 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 engineers, and domain experts. The role involves research, prototyping, model optimization, deployment, and continuous learning to keep up with advancements in AI and ML.