Machine Learning Engineer

Job Description

We are looking for a skilled Machine Learning Engineer with 2–5 years of experience to develop, train, and deploy scalable machine learning models. The ideal candidate should have strong expertise in data analysis, predictive modeling, feature engineering, and model optimization. You will work closely with product, engineering, and data teams to build intelligent solutions that drive business growth and enhance user experiences.

Key Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Analyze large datasets to identify trends, patterns, and business insights.
• Perform data preprocessing, cleaning, and feature engineering.
• Train, validate, and optimize machine learning algorithms.
• Build predictive analytics and recommendation systems.
• Develop data pipelines and model deployment workflows.
• Monitor model performance and retrain models as required.
• Collaborate with cross-functional teams to understand business requirements.
• Conduct A/B testing and performance evaluations.
• Stay updated with the latest advancements in machine learning and AI technologies.

Professional Skills

• Python Machine Learning Deep Learning Data Science Statistical Analysis Feature Engineering Predictive Modeling Scikit-learn TensorFlow PyTorch Pandas NumPy SQL Data Visualization Model Deployment MLOps Basics Git & GitHub Docker AWS / Azure / Google Cloud

Perks & Benefits

Our Vision

To become a globally trusted technology and innovation company that empowers businesses through intelligent digital solutions, artificial intelligence, and transformative technologies, enabling sustainable growth and lasting success.