Machine Learning Engineer II

Job Profile: Machine Learning Engineer - II

Location: Bangalore | Karnataka

Years of Experience: 3 - 5

Position Overview

applied modeling, data science, and engineering rigor

What qualities are we looking for?

• Strong grasp of machine learning fundamentals — supervised learning, regularization, validation strategies, and performance metrics.
• Working understanding of statistics and data analysis, including variance, bias, correlation, and uncertainty.
• Proficiency in Python and numerical computing; ability to reason about algorithms and data flow.
• Clear, reproducible coding style and comfort handling large-scale structured data.
• Collaborative and analytical mindset with curiosity to understand why models behave the way they do.
• Prior experience developing or deploying ML models in production environments.
• Exposure to distributed data systems or ML pipelines (e.g., batch and real-time).
• 3–5 years of experience in applied ML, data science, or software engineering (scope calibrated to level).
• Enthusiasm for building practical, explainable, and scalable ML systems that make measurable impact.
  

What will you get to do here?

• Contribute to the design, training, and evaluation of ML models with a focus on reproducibility, stability, and generalization.
• Build and maintain scalable pipelines for model training, validation, and deployment.
• Apply sound statistical reasoning to assess data quality, feature behavior, and model diagnostics.
• Collaborate with scientists and engineers to translate analytical insights into robust ML components.
• Support the continuous monitoring and improvement of model performance over time.
• Champion good ML practices — controlled experiments, documentation, and interpretability.