Machine Learning Engineer

Description :

Machine Learning Engineer

About the Role :

We are looking for a talented Machine Learning Engineer to design, develop, and deploy machine learning

models that solve real-world business problems. The ideal candidate should have strong experience in Python, machine learning algorithms, data processing, and model deployment.

In this role, you will work closely with data scientists, software engineers, and product teams to build scalable ML systems and integrate intelligent features into applications. You will be responsible for developing ML pipelines, optimizing models, and ensuring reliable deployment in production environments.

Key Responsibilities :

- Design, develop, and implement machine learning models and algorithms to solve complex business problems.

- Build and maintain data pipelines for data collection, preprocessing, and feature engineering.

- Train, evaluate, and optimize machine learning and deep learning models.

- Deploy machine learning models into production environments and ensure scalability and reliability.

- Collaborate with data scientists and software engineers to integrate ML models into applications and services.

- Monitor and maintain model performance, accuracy, and reliability over time.

- Perform data analysis and experimentation to improve model performance.

- Implement MLOps practices for model versioning, monitoring, and automated deployment.

- Work with large datasets and distributed computing frameworks to process and analyze data efficiently.

- Use cloud platforms and containerization technologies to deploy and manage ML applications.

- Document ML models, experiments, and processes to maintain transparency and reproducibility.