About the job
At Xenon7, we collaborate with premier enterprises and dynamic startups on groundbreaking projects that harness the latest technologies across various IT domains, such as Data, Web, Infrastructure, AI, and more. Our proficiency in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global corporations or partnering with trailblazing startups, we are dedicated to delivering advanced and impactful solutions that address today's most complex challenges.
Role Overview
We are on the lookout for a talented Senior Data Engineer with extensive experience in Python, Databricks, Snowflake, and AWS to architect, develop, and implement advanced machine learning solutions. The ideal candidate will have a profound understanding of supply chain management, particularly in inventory management, and exhibit hands-on experience with machine learning algorithms such as time series forecasting, regression models, and neural networks.
This role requires complete ownership from gathering business requirements to delivering solutions, along with strong communication and stakeholder management skills.
Responsibilities
- Work closely with business stakeholders to gather and analyze requirements, ensuring alignment with project goals.
- Design and implement ML models tailored for supply chain and inventory management applications.
- Utilize Python, Databricks, and Snowflake for data preparation, modeling, and pipeline construction.
- Employ AWS services to build, deploy, and scale ML solutions within production environments.
- Use advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models.
- Facilitate discussions, present solutions, and take full ownership of the ML delivery process from start to finish.
- Continuously evaluate, monitor, and enhance model performance.
