Company Overview:

Nazztec Private Limited is a rapidly growing technology company specializing in providing cutting-edge AI-powered solutions for the financial services industry. We develop and deploy sophisticated machine learning models to enhance fraud detection, risk management, and customer experience for banks and other financial institutions. Our solutions process millions of transactions daily, ensuring the security and efficiency of our clients' operations.

Role Overview :

As a Senior AI Engineer at Nazztec, you will be instrumental in designing, developing, and deploying scalable AI solutions on the AWS cloud platform. You will collaborate closely with data scientists, software engineers, and product managers to translate complex business requirements into robust and efficient machine learning models and APIs. Your work will directly impact the performance and reliability of our core products, ensuring our clients receive the highest quality AI-driven insights.

Key Responsibilities:

- Design and implement scalable and reliable machine learning pipelines using Python and Java for real-time data processing and model deployment.

- Deploy and manage machine learning models on AWS infrastructure, leveraging services such as Amazon EC2, AWS Lambda, DynamoDB, and API Gateway.

- Collaborate with data scientists to optimize model performance and ensure accuracy, contributing to improved fraud detection and risk management capabilities.

- Develop and maintain RESTful APIs to expose machine learning models to internal and external clients, facilitating seamless integration with existing systems.

- Monitor and troubleshoot production systems, identifying and resolving performance bottlenecks to ensure high availability and optimal performance.

- Contribute to the development of best practices for machine learning engineering, promoting code quality, testing, and documentation.

Required Skillset:

- Demonstrated ability to design, develop, and deploy machine learning models in a production environment.

- Proficiency in Python and Java programming languages, with experience in building scalable and efficient applications.

- Hands-on experience with AWS cloud services, including Amazon EC2, AWS Lambda, DynamoDB, and API Gateway.

- Strong understanding of machine learning algorithms and techniques, with the ability to apply them to real-world problems.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.