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 productive 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:
Solid proficiency in Python and TensorFlow
Solid understanding of AI/ML concepts
Hands-on experience with Generative AI
Experience deploying ML solutions on AWS
Knowledge of FastAPI for model serving
Familiarity with MLOps tools like MLFlow, Kubeflow, or SageMaker
Positive understanding of CI/CD and version control (Git)
Strong analytical, problem-solving, and communication skills
Education:
Bachelor's degree in Computer Science, Engineering, or related field
📌 Aiml Specialist Chennai (India)
🏢 MyCareernet
📍 India
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