Description

You will develop, deploy, and maintain production-grade machine learning models and generative AI solutions. You own the end-to-end ML lifecycle, from data analytics and model training to cloud deployment and MLOps orchestration on AWS.

This role is on-site.

Responsibilities

• Develop and implement ML algorithms and generative AI solutions using Python and TensorFlow.
• Build scalable ML pipelines and manage CI/CD workflows with Git.
• Deploy and orchestrate ML solutions on AWS, utilizing SageMaker and FastAPI for model serving.
• Employ MLOps tools like MLFlow and Kubeflow for model management and versioning.
• Conduct statistical modeling and data mining on unstructured data to drive architectural decisions.

Required Skills

• 5+ years of experience in AI/ML development.
• Strong proficiency in Python, TensorFlow, and FastAPI.
• Hands-on experience with Generative AI and statistical modeling.
• Proven track record deploying ML solutions on AWS.
• Familiarity with MLOps tools: MLFlow, Kubeflow, or AWS SageMaker.
• Experience managing CI/CD pipelines and version control (Git).
• Bachelor's degree in Computer Science, Engineering, or related field.

Key Skills

Education

Any Graduate