About the job
At Xenon7, we collaborate with top-tier enterprises and pioneering startups on thrilling, state-of-the-art projects that utilize cutting-edge technologies across diverse IT sectors, including Data, Web, Infrastructure, and AI. Our proficiency in developing IT solutions and providing on-demand resources empowers us to partner with clients on transformative ventures that drive innovation and business expansion. Whether we are enabling global corporations or teaming up with groundbreaking startups, our commitment is to deliver sophisticated, impactful solutions that address today’s most intricate challenges.
Role Overview
We are on the lookout for a seasoned Data Engineer with extensive expertise in Python, Databricks, Snowflake, and AWS to architect, develop, and deploy sophisticated machine learning solutions. The ideal candidate will have a profound understanding of supply chain management, particularly in inventory management, and demonstrate practical experience with machine learning methodologies such as time series forecasting, regression models, and neural networks.
This position demands complete ownership from gathering business requirements to delivering solutions, alongside strong communication and stakeholder management skills.
Key Responsibilities
- Engage with business stakeholders to collect and analyze requirements, ensuring alignment with project goals.
- Design and implement machine learning models tailored for supply chain and inventory management scenarios.
- Utilize Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development.
- Harness AWS services to construct, deploy, and scale machine learning solutions in production settings.
- Employ advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models.
- Lead discussions, present solutions, and take full responsibility for the end-to-end machine learning delivery process.
- Continuously monitor, assess, and enhance model performance.