ML Engineer

Job Summary

We are seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning solutions that address complex business problems. The ideal candidate will have strong experience in Python, Java, Scikit-learn, and machine learning algorithms, with the ability to build scalable and production-ready ML applications.

The candidate will work closely with data scientists, software engineers, and business stakeholders to develop predictive models, automate analytical processes, and integrate machine learning solutions into enterprise applications.

Key Responsibilities

• Design, develop, and implement machine learning models for business use cases.
• Build and maintain scalable ML pipelines for training, testing, and deployment.
• Develop predictive and classification models using machine learning algorithms.
• Perform data preprocessing, feature engineering, and model evaluation.
• Utilize Scikit-learn for model development and experimentation.
• Develop and maintain applications and services using Java and Python.
• Integrate machine learning models into production environments.
• Collaborate with cross-functional teams to understand business requirements.
• Monitor model performance and optimize models for accuracy and scalability.
• Document technical solutions, methodologies, and model performance metrics.

Required Skills

• Strong experience in Python programming.
• Hands-on experience with Scikit-learn (Scikit library).
• Strong programming skills in Java.
• Solid understanding of Machine Learning algorithms and techniques.
• Experience with supervised and unsupervised learning models.
• Experience with data preprocessing and feature engineering.
• Strong knowledge of statistics and model evaluation techniques.
• Experience working with large datasets.