Birlasoft—Technical Lead-App Development

Job description

Description: Area(s) of responsibility . Job Title: AI Support Engineer Location: Offshore (Any SYF ODC location) 3-6 years Job Type: Full-Time About Us: We are a forward-thinking technology company leveraging cutting-edge AI technologies to deliver innovative solutions. We are seeking a skilled AI Support Engineer to join our team and help maintain, support, and optimize our AI models and cloud infrastructure. Key Responsibilities: - Provide technical support, troubleshooting, and optimization for generative AI models running on Azure AI services and AWS Bedrock. - Monitor and optimize AI model performance, ensuring high availability and reliability. - Collaborate with development teams to integrate AI services with existing microservices built using Spring Boot. - Utilize monitoring tools like Splunk and New Relic to track system health, diagnose issues, and improve system resilience. - Assist in deployment, scaling, and maintenance of AI models in cloud environments (Azure and AWS). - Document support procedures, incident reports, and system configurations. - Stay updated with the latest trends and updates in AI, cloud services, and monitoring tools. Primary Skills Required: - Strong experience with Generative AI models (e.g., large language models, diffusion models, transformer architecture). - Hands-on experience working with Azure AI services including deployment and monitoring of AI models. - Familiarity with AWS Bedrock and its capabilities for managing and deploying foundation models in production. Secondary Skills: - Experience in building, maintaining, or supporting Spring Boot microservices in cloud environments. - Proficiency with monitoring, logging, and alerting tools such as Splunk and New Relic. - Good understanding of cloud architecture and microservice-based applications. Qualifications: - Bachelor’s degree in computer science, Engineering, or a related field. - Prior experience in supporting AI or ML models in production environments. - Strong problem-solving skills and ability to work in a fast-paced environment. Preferred: - Certifications in Azure AI, AWS, or related cloud platforms. - Experience with CI/CD pipelines and DevOps practices.