10 Aug
|
A.P. Moller - Maersk
|
Bengaluru
10 Aug
A.P. Moller - Maersk
Bengaluru
Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions.
• Design, develop, and implement scalable data pipelines to process large datasets from diverse sources, while handling data in large-scale architectures • Develop and implement automated data validation and testing frameworks to ensure data accuracy and consistency • Implement best practices for security, automation,
and error handling using tools like Apache Kafka and data warehousing or lake technologies • Research and implement new tools, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability • Apply creative problem-solving techniques to design cutting-edge tools and optimized workflows and independently apply data-driven approaches when appropriate • Independently manage and optimize data storage solutions such as data warehouses, data lakes, and cloud-based systems • Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects • Contribute to the design and documentation of data engineering solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration • Collaborate across teams to de
📌 Data Engineer (Bengaluru)
🏢 A.P. Moller - Maersk
📍 Bengaluru