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About the role
Company: IT Services Organization Key Skills: AWS, Fast Api, AI/ML, Python, Generative AI, Tensorflow Roles and Responsibilities: Develop and implement machine learning models and algorithms using Python and Tensorflow.Build production-grade ML pipelines and ensure their scalability and reliability.Utilize AWS and other cloud platforms for deployment and orchestration of ML solutions.Collaborate with cross-functional teams to integrate AI solutions into existing systems.Manage CI/CD pipelines and version control systems (e.g., Git) for efficient development.Employ MLOps tools such as MLFlow, Kubeflow, and AWS Sagemaker for model management.Conduct statistical modeling, data mining, and analytics on unstructured data.Drive both low-level technical implementations and high-level architectural decisions.Stay updated with the latest advancements in AI/ML and contribute to continuous improvement initiatives.Skills Required: Strong proficiency in Python and TensorFlowSolid understanding of AI/ML conceptsHands-on experience with Generative AIExperience deploying ML solutions on AWSKnowledge of FastAPI for model servingFamiliarity with MLOps tools like MLFlow, Kubeflow, or SageMakerGood understanding of CI/CD and version control (Git)Strong analytical, problem-solving, and communication skillsEducation: Bachelor's degree in Computer Science, Engineering, or related field .
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