AI/ML - Tech Lead / Architect

3 days ago

Vadodara, India Armakuni Full time

Armakuni (AWS Premier Partner), a trusted partner in helping organizations leverage cloud-native technologies to achieve agility, scalability, and resilience. - Cloud-Native Transformation : Guiding businesses through adopting cloud-native practices to optimize their operations - DevOps and Platform Engineering : Building robust, secure, and scalable platforms tailored to your unique needs. - Data Engineering : With our data engineering service you can transform your data into actionable business outcome - Gen AI & ML : Empower Business strategy with AI-Driven growth through Gen-AI Services - Tailored Solutions: Providing expert consulting services to deliver long-term success for your teams. Get more insights about us by visiting us on our website https://www.armakuni.com/ Explore our all AWS Capabilities over here : Armakuni - Armakuni AWS Marketplace currently hiring AI/ML - Tech Lead / Architect to join our team The following are requirements of skills set: Skills : Gen AI, LLMs, AWS Sagemaker, AWS Bedrock, MLOps-Mlflow, Kuberflow Experience : 5-10 Years Location : Ahmedabad / Hybrid Roles & 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.

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