AI/ML Engineer

We are looking for enthusiastic engineers passionate about building and maintaining solutioning platform components on cloud and Kubernetes infrastructure. The ideal candidate will go beyond traditional SRE responsibilities by collaborating with stakeholders, understanding the applications hosted on the platform, and designing automation solutions that enhance platform efficiency, reliability, and value. [Technology and Sub-technology] • ML Engineering / Modelling • Python Programming • GPU frameworks: TensorFlow, Keras, Pytorch etc. • Cloud Based ML development and Deployment AWS or Azure [Qualifications] • Bachelor’s Degree in Computer Science, Computer Engineering or equivalent technical degree • Proficient programming knowledge in Python or Java and ability to read and explain open source codebase. • Good foundation of Operating Systems, Networking and Security Principles • Exposure to DevOps tools, with experience integrating platform components into Sagemaker/ECR and AWS Cloud environments. • 4-6 years of relevant experience working on AI/ML projects[Primary Skills]: • Excellent analytical & problem solving skills. • Exposure to Machine Learning and GenAI technologies. • Understanding and hands-on experience with AI/ML Modeling, Libraries, frameworks, and Tools (TensorFlow, Keras, Pytorch etc.) • Strong knowledge of Python, SQL/NoSQL • Cloud Based ML development and Deployment AWS or Azure