Data Science Engineer - Python/Django

Key Responsibilities : Data Engineering : Design, build, and optimize data pipelines for cleaning, processing, and feature extraction from large datasets and live data streams. Model Development : Design, develop, deploy, and maintain machine learning models and data analytics services. Infrastructure Development : Build and maintain the infrastructure required for smooth analytics and data processing services. Collaboration : Work closely with Data Scientists, Engineers, and Software Developers to integrate models with cloud systems. Technical Expertise : Supervise and assist cross-functional teams in data solution design and deployment. Documentation : Maintain thorough documentation for models, processes, and design decisions. Mentorship : Mentor junior team members, fostering a collaborative and innovative environment. Qualifications : Mandatory Skills : - Expertise in Python, SQL, MongoDB, and time-series databases. - Proficiency in machine learning libraries and frameworks with production-grade experience. - Strong knowledge of ETL processes, data pipeline design, and data engineering tools. - Hands-on experience with AWS cloud services and MLOps practices (CI/CD pipelines). - Deep understanding of statistical modeling, feature engineering, and deep learning architectures for time-series data. - Experience with backend frameworks like Django, Flask, or FastAPI. Nice-to-Have Skills : - Experience with big data technologies like Spark or Hadoop. - Exposure to frontend frameworks like React for data visualization. (ref:hirist.tech)

Location: in, IN

Posted Date: 2/22/2025