AI/ML Architect

1 day ago

Pune, Maharashtra, India PRINCETON SOFTWARE SERVICES PRIVATE LIMITED Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Description :

Role Responsibilities :

- Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.

- Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.

- Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.

- Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance.

- Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives.

- Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and best practices.

- Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

- Ensure that AI/ML systems comply with security standards and regulatory requirements. Implement best practices for data privacy and protection.

Required :


- Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.

- Total 10-15 years of industry experience

- More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects.

- Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools.

- Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.

- Experience with Microsoft Azure cloud services and their AI/ML offerings

- Experience with event-handling systems such as Kafka

- Experience with big data technologies and data engineering practices.

- Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

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