Machine Learning Engineer

Position Overview

We are seeking a skilled Machine Learning Engineer to join our team and drive the development, deployment, and optimization of machine learning models and systems. The ideal candidate will bridge the gap between data science research and production-ready ML solutions, working collaboratively to solve complex business problems through innovative ML applications across cloud and edge environments.

Key Responsibilities

Model Development & Implementation

• Design, develop, and implement machine learning models and algorithms to solve business problems.
• Optimize model performance, accuracy, and efficiency through feature engineering and hyperparameter tuning.
• Research and evaluate new ML techniques, frameworks, and tools.

Production Systems & Infrastructure

• Deploy ML models into production environments using cloud platforms and containerization technologies.
• Build and maintain scalable ML pipelines for data processing, model training, and inference.
• Implement MLOps practices including model versioning, monitoring, and automated retraining.
• Ensure model reliability, scalability, and performance in production systems.
• Optimize models for deployment across different environments (cloud, edge).

Edge Deployment

• Deploy and optimize ML models for edge devices.
• Implement model compression techniques (quantization, pruning, distillation).
• Work with edge computing frameworks and optimize for resource-constrained environments.
• Ensure low-latency inference and efficient resource utilization.

Data Engineering & Analysis

• Work with large-scale datasets to extract, transform, and prepare data for ML applications.
• Design efficient data pipelines.
• Ensure data quality and implement data validation processes.

Collaboration & Communication

• Partner with data scientists, software engineers, and product teams to define requirements.
• Communicate technical findings and model performance to both technical and non-technical stakeholders.
• Participate in code reviews and maintain high standards for code quality.
• Document models, processes, and best practices.

Required Qualifications

Education & Experience

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related field.
• 3+ years of experience in machine learning engineering or related roles.
• Proven track record of deploying ML models in production environments.