Job Description

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 Opportunity 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