Data Science Engineer

DATA SCIENCE ENGINEER

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and AI solutions;
• Deploy and maintain production-level machine learning systems;
• Contribute to the development of generative AI and NLP projects;
• Manage and optimize data pipelines and infrastructure;
• Collaborate with cross-functional teams to deliver high-impact data science solutions;
• Stay current with the latest advancements in AI/ML and apply them to solve complex business problems.

Requirements:

• Knowledge in Physics, Mathematics, Engineering, or a related quantitative field;
• 4+ years of experience in AI/ML;
• 3+ years of implementation experience as a customer facing consultant, including customer-facing GenAl;
• Proven experience in deploying machine learning models to production environments;
• Hands-on experience with generative AI technologies and natural language processing;
• Proficiency in infrastructure management;
• Docker containerization;
• Pipeline management tools;
• Database systems;
• Experience working with Databricks platform;
• Experience with Azure cloud.