Description

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 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
• Good 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

Key Skills

Education

Any Graduate