AI/ML Engineer

About the role

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.

What you'll do

• Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed
• Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards
• Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools
• Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities
• Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability

What you need

• Machine learning
• SQL
• Python
• Deep learning
• NLP
• Statistics

Good to have

• R
• Hadoop
• Spark
• CI/CD