Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science
51 - 200
July 3, 2023
Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science
51 - 200
• Designing, developing, and maintaining data infrastructure and pipelines • Creating and optimizing data pipelines using Databricks and Scala • Managing analytics tools to provide insights into key business performance metrics • Designing and developing API integrations • Architecting and implementing new features • Identifying bugs and performance issues • Building and securing highly scalable infrastructure using SQL and AWS big data technologies
• 3+ years of professional experience shipping high-quality, production-ready code • Strong computer science foundations • Proficiency in Scala • Experience with SQL and NoSQL databases • Familiarity with cloud services for data infrastructure • Ability to manipulate and extract value from large datasets • Strong analytic skills working with unstructured datasets • Expertise with version control systems • Excellent verbal and written communication skills in English • BSc in Computer Science, Mathematics, or similar field (Master’s or PhD is a plus) • Experience with Apache Airflow and real-time scenarios (a plus)
• Opportunity to work with a highly experienced team of AI researchers, educators, and engineers • Chance to address the shortage of qualified AI & Machine-Learning engineers globally • Ability to work remotely • Professional growth and career support • Transparent workplace with a voice in building the company • Focus on learning and growth based on merits • Impactful work and positive impact on local communities • Creating a high-performing fast-growing business • Opportunity to work with highly talented data science engineers and data analysts • Fun team activities and a great work environment
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