Overview

Armakuni (AWS Premier Partner) , a trusted partner in helping organizations leverage cloud-native technologies to achieve agility, scalability, and resilience.

Responsibilities

• Model Development & Deployment: Design, build, and deploy machine learning models to production environments using AWS SageMaker, AWS Bedrock, and other AWS AI/ML services.
• Develop and deploy Generative AI applications using various LLMs.
• Work on data preprocessing, exploratory data analysis (EDA), feature engineering, and model training pipelines using various ML pipelines and AWS services.
• Implement best practices for model versioning, monitoring, and scaling in production. Collaboration & Communication Collaborate with data engineers to translate business requirements into ML models and work on data science-related problems as needed.
• Work with DevOps and Data Engineering teams to deploy and maintain models in production, with a strong understanding of MLOps. Present findings and progress to stakeholders, ensuring alignment with business objectives. Innovation & Improvement Continuously explore and implement new AWS AI/ML services (e.g., Amazon Rekognition, Comprehend, Lex, Polly, AWS Bedrock, and open-source LLMs) to improve existing solutions.
• Optimize models for performance, scalability, and cost-effectiveness in the AWS cloud environment. Documentation & Compliance: Maintain detailed documentation of model architectures, training processes, and deployment pipelines.
• Ensure compliance with industry standards and data privacy regulations.