AI/ML Engineer

You will be responsible for developing and deploying cutting-edge machine learning models to solve real-world problems.

Your responsibilities will include data preparation, model training, evaluation, and deployment, as well as collaborating with data scientists and software engineers to ensure our AI solutions are effective and scalable.

As a Machine Learning Engineer, you will be responsible for developing and optimizing pipelines for both inference and training processes.

Your expertise will be crucial in Amazon SageMaker, you need to build, train, and deploy machine learning and foundation models at scale with infrastructure.

Experience Level: ~ 4 years.

Key Responsibilities:

• Utilize AI solutions and tools provided by AWS to build segmentation models based on customer behavior and usage patterns.
• Automatically generate periodic reports.
• Develop functionality for defining reusable segmentation criteria tailored to marketing objectives.

Required Skill Set:

• Hands-on experience with AWS S3, Lambda, Glue, SageMaker, Athena, QuickSight, etc.
• Python programming, conceptual understanding of ML algorithms, deep learning techniques, and prior experience with AWS is required.
• Understanding of serverless architectures and event-driven processing flows.
• Prior experience in working AI solutions and tools provided by AWS is must.

Qualifications:

• Bachelor or Master's degree in Computer Science or related field.

Prior Industry Experience in machine learning frameworks or projects is must.