Data science engineer
Summary
Design, build, and maintain scalable data pipelines and data platforms, then develop, train, and deploy machine learning and Generative AI models, and deliver dashboards and business insights. Core stack: Python, SQL, ETL, data warehousing, cloud platforms (AWS/Azure/GCP), and ML frameworks.
We are looking for an experienced IT Data & AI Specialist to design, develop, and maintain data engineering and AI solutions that support business operations and digital transformation initiatives.
Key Responsibilities Design, develop, and maintain scalable data pipelines and data platforms. Collect, clean, and transform structured and unstructured data. Build, train, test, and deploy Machine Learning and Generative AI models. Develop dashboards, reports, and actionable business insights. Integrate AI solutions with enterprise applications. Ensure data quality, governance, security, and compliance. Monitor and optimize data pipelines and AI model performance. Collaborate with business and technical stakeholders to deliver data-driven solutions. Document data models, pipelines, and AI implementations. Required Skills Data Analysis Generative AI Python SQL Data Warehousing ETL Cloud Computing Preferred Skills Prompt Engineering AI Solution Integration Desired Candidate ProfileQualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 36 years of experience in Data Engineering, Data Analytics, AI, or Machine Learning. Strong hands-on experience with Python and SQL. Experience with Machine Learning frameworks. Experience working with AWS, Azure, or GCP cloud platforms. Strong analytical, communication, and problem-solving skills. Desired Candidate Profile
Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 36 years of experience in Data Engineering, Data Analytics, AI, or Machine Learning. Strong hands-on experience with Python and SQL. #J-18808-Ljbffr