AI / ML Engineer - Amazon SageMaker

As an AI/ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality outputs. You will also explore the integration of generative AI models into solutions while working on various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology.

Responsibilities:

• Develop applications and systems that utilize AI tools and cloud AI services with a proper cloud or on-prem application pipeline with production-ready quality.
• Be able to apply GenAI models as part of the solution.
• Could also include, but is not limited to, deep learning, neural networks, chatbots, and image processing.
• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge.
• Continuously evaluate and improve existing processes to increase efficiency.

Requirements:

• Must-have skills: Proficiency in Amazon SageMaker.
• Good-to-have skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of cloud computing concepts and services.
• Experience in deploying machine learning models in production environments.
• Familiarity with data preprocessing and feature engineering techniques.

Additional Information:

• The candidate should have a minimum of 5 years of experience with Amazon SageMaker.
• A 15-year full-time education is required.
• 15 years of full-time education.