
Senior Software Engineer
3 weeks ago
Key Responsibilities:
- Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources
- Collaborate with data scientists to transform machine learning models into production-ready applications
- Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process
- Evaluate and integrate new data management and processing technologies to enhance analytics capabilities
- Create and manage data repositories, following best practices for data governance and security
- Develop documentation and provide training to team members on data systems and workflows
- Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment
- Stay updated on the latest industry trends and technologies in data engineering and machine learning
- Lead the development and deployment of machine learning models that drive key business metrics and outcomes
- Build and maintain scalable data pipelines and feature stores for training and inference use cases
- Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery
- Monitor and retrain models in production to ensure performance over time and handle data drift issues
- Contribute to architectural decisions on data platforms and model-serving infrastructure
- Mentor junior team members and help shape best practices in data science engineering
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline
- 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions
- Demonstrated experience translating business problems into data science projects with measurable outcomes
- Prior experience working closely with business stakeholders to operationalize models and drive ROI
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication skills, both verbal and written, to convey technical concepts effectively
- Ability to work collaboratively in a fast-paced team environment and manage multiple priorities
- Motivated self-starter with a passion for learning and applying new technologies
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