Machine Learning Engineer - Position Details Role Machine Learning Engineer Experience Required 5 years Number of Positions 10 Location Bangalore Whitefield Compensation Up to 27 LPA Job Summary We are looking for experienced Machine Learning Engineers who are passionate about building scalable ML systems and deploying models in production environments The ideal candidate will have a strong foundation in machine learning theory combined with hands-on experience in model development optimization and deployment Key Responsibilities Model Development Deployment Design develop and implement machine learning models for various business use cases Deploy ML models into production environments with focus on scalability and performance Monitor model performance and implement continuous improvement strategies Collaborate with cross-functional teams to integrate ML solutions into existing systems Technical Implementation Build and optimize neural networks for real-world applications Develop end-to-end ML pipelines from data ingestion to model serving Implement automated model training and retraining workflows Ensure model reliability accuracy and efficiency in production environments Data Engineering Analysis Perform comprehensive data preprocessing and feature engineering Conduct thorough model evaluation and validation using appropriate metrics Analyze large datasets to extract meaningful insights and patterns Implement data quality checks and validation frameworks Required Qualifications Technical Skills Programming Strong proficiency in Python with deep understanding of ML DL libraries Frameworks Hands-on experience with TensorFlow PyTorch or Keras Libraries Expertise in scikit-learn and other relevant ML libraries Cloud Platforms Familiarity with AWS Azure or Google Cloud Platform Model Development Strong experience in building training and optimizing machine learning models Core Competencies Solid understanding of machine learning algorithms and statistical methods Experience with deep learning architectures and neural network optimization Knowledge of MLOps practices and model lifecycle management Understanding of software engineering best practices for ML systems Experience with version control testing and documentation What We Offer Competitive salary package up to 27 LPA Chance to work on cutting-edge AI ML projects Collaborative and innovative work environment Professional development and learning opportunities Flexible working arrangements Comprehensive benefits package Job Type Permanent Pay 2 074 980 25 - 2 701 758 76 per year Benefits Provident Fund Schedule Rotational shift Supplemental Pay Performance bonus