Machine Learning Engineer Python

Job Description

Job Title :Data Science Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale. Key Responsibilities. Design and develop machine learning models for various business problems. Implement data preprocessing, feature engineering, and model training in Python and Databricks. Work on model deployment, monitoring, and scaling in cloud or on-premise environments. Develop and optimize data pipelines to support model building and execution. Collaborate with cross-functional teams to ensure model alignment with business needs. Ensure the scalability, performance, and reliability of deployed models. Implement MLOps practices for automated testing, continuous integration, and model versioning. Monitor model performance in production and refine models as needed. Requirements. 6+ years of experience in Data Science, Machine Learning, and Model Deployment. Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data pipeline development and cloud platforms. Knowledge of MLOps practices for scalable and automated model deployment. Strong SQL skills and experience working with large datasets. Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker). Ability to work in a UK shift and collaborate with global teams. Job Type :Full-time. Schedule :UK shift. Application Question(s). Please provide your current CTC, expected CTC and Notice period along with the application. The applications without this information may not be considered. Education :Bachelor's (Required). Experience :Python:4 years (Required). Databricks :3 years (Required). Work Location :Remote. (ref:hirist.tech). Show more Show less