Machine Learning Engineer

About Us

We are looking for a talented Machine Learning Engineer to design, develop, and deploy ML models that drive business insights and automation. The ideal candidate will have a solid foundation in ML techniques along with decent Data Engineering skills and hands-on experience with big data tools such as Spark and Hadoop to handle large-scale data processing.

Key Responsibilities

• Develop, test, and deploy machine learning models and algorithms
• Collaborate with data scientists and data engineers to optimize data workflows
• Build and maintain scalable data pipelines for training and inference using Spark, Hadoop, and other big data tools
• Perform data preprocessing, feature engineering, and exploratory data analysis
• Monitor model performance and fine-tune models as needed
• Implement best practices for model deployment and versioning
• Stay updated with the latest ML research and industry trends

Mandatory Skills and Qualifications

• Strong understanding of machine learning algorithms and frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
• Solid Data Engineering skills, including ETL, data pipelines, and SQL
• Hands-on experience with big data tools such as Spark and Hadoop
• Proficiency in Python
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus
• Good problem-solving and communication skills

Preferred Skills

• Experience with containerization and deployment (Docker, Kubernetes)
• Knowledge of MLOps practices and tools