Machine learning engineer / AI

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Requirements:

• 5+ years of experience in software engineering with a strong focus on machine learning systems.
• Advanced proficiency in Python, with experience using TensorFlow for deep learning model development.
• Proven experience with Apache Spark (PySpark) for large-scale data processing.
• Hands-on experience working with Kubernetes in production-grade ML workloads.
• Experience building web services with Django or similar frameworks.
• Solid understanding of the mathematical foundations of machine learning, including statistics, linear algebra, and algorithmic complexity.
• Bachelor's degree in Computer Science, Applied Mathematics, or a related quantitative field.

Responsibilities:

• Design and implement end-to-end machine learning solutions using Python and TensorFlow.
• Develop and optimize distributed data processing pipelines using PySpark and Kubernetes.
• Build scalable backend services leveraging Django to support ML model integration and real-time inference.
• Apply rigorous mathematical and statistical methodologies to solve complex business problems.
• Collaborate with data engineers, product owners, and DevOps to ensure efficient deployment and monitoring of ML models.
• Translate business needs into robust technical solutions while maintaining high code quality and documentation.