AI/ML Data Engineer

What role you will play in team: You'll be a key member of our team, responsible for building and maintaining the data infrastructure that powers our AI/ML applications.

What you will do: You will design, build, and deploy scalable data pipelines to ingest, process, and transform large datasets for use in machine learning models.

Key responsibility:

• Design, build, and maintain scalable data pipelines using tools like Apache Kafka, Spark, and Hadoop.
• Develop and maintain data quality controls and monitoring systems.
• Collaborate with data scientists and other engineers to ensure data availability and quality.
• Troubleshoot and resolve data-related issues.
• Implement data security best practices.

Required Qualification and Skills:

• Bachelor's or Master's degree in computer science or a related field.
• 3-5 years of experience in data engineering.
• Proficiency in Python or Java.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with cloud-based data platforms such as AWS or Azure is a plus.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career advancement.
• A collaborative and supportive work environment.
• The chance to work on cutting-edge technologies.

A Day in the Life: A typical day might include designing and building data pipelines, troubleshooting data-related issues, and collaborating with other engineers and data scientists.