AI/ML Engineer - CA

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Requirements:

• Proficient in Python programming.
• Strong experience with Apache Spark (PySpark) for distributed data processing.
• Hands-on experience with Kubernetes for container orchestration and scaling applications.
• Experience with Django for building web applications and APIs.
• Strong background in TensorFlow and other machine learning frameworks.
• Solid understanding of the mathematical foundations of machine learning, including statistics, linear algebra, and algorithms.
• Bachelor’s degree in Computer Science or a related quantitative field.
• Ability to communicate effectively in English (both written and spoken).

Responsibilities:

• Develop and optimize machine learning models using Python and related frameworks (e.g., TensorFlow).
• Build and maintain scalable data processing pipelines with Apache Spark (PySpark).
• Design, implement, and maintain containerized applications using Kubernetes.
• Develop web applications and APIs with Django.
• Collaborate with cross-functional teams to define and solve machine learning problems.
• Stay updated with the latest developments in AI/ML technologies and implement best practices.
• Write clean, efficient, and maintainable code that aligns with industry standards.
• Conduct performance analysis and optimization of machine learning models.