AWS Senior AI Agent Engineer

E4 Software Services; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

E4 Software Services in Pune is seeking a skilled AI/ML engineer to design, develop, and deploy scalable AI models using AWS SageMaker, Lambda, and EMR. You will work with cross-functional teams to translate business problems into AI-powered solutions.

Responsibilities include building large-scale data pipelines with AWS Glue, Redshift, and DynamoDB, implementing ML algorithms with TensorFlow or PyTorch, and ensuring robust data validation and testing to deliver reliable AI systems in a

Qualifications

• Strong proficiency in Python, Java, or C++.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• In-depth knowledge of AWS services including SageMaker, Lambda, EMR, Glue, Redshift, DynamoDB, and CloudFormation.
• Excellent problem-solving and data analysis skills.
• Strong communication and cross-functional collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Responsibilities

• Design, develop, and deploy scalable AI models using AWS services such as SageMaker, Lambda, and EMR.
• Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions.
• Develop and maintain large-scale data pipelines using AWS Glue, Redshift, and DynamoDB.
• Implement machine learning algorithms using TensorFlow or PyTorch and integrate them with AWS services.
• Ensure high-quality data processing and analysis by implementing data validation and testing procedures.
• Troubleshoot and resolve complex technical issues related to AI model deployment and data pipeline failures.

Skills

Programming languages

Deep learning

Problem-solving

Communication

Team collaboration

Tools

AWS services: SageMaker, Lambda, EMR, Glue, Redshift, DynamoDB, CloudFormation

Job description

• Design, develop, and deploy scalable AI models using AWS services such as SageMaker, Lambda, and EMR.


• Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions.


• Develop and maintain large-scale data pipelines using AWS Glue, Redshift, and DynamoDB.


• Implement machine learning algorithms using TensorFlow or PyTorch and integrate them with AWS services.


• Ensure high-quality data processing and analysis by implementing data validation and testing procedures.


• Troubleshoot and resolve complex technical issues related to AI model deployment and data pipeline failures.

Job Requirements

• Strong proficiency in programming languages such as Python, Java, or C++.


• Experience with deep learning frameworks like TensorFlow or PyTorch is highly desirable.


• In-depth knowledge of AWS services including SageMaker, Lambda, EMR, Glue, Redshift, DynamoDB, and CloudFormation.


• Excellent problem-solving skills and the ability to analyze complex data sets.


• Strong communication skills and the ability to collaborate effectively with cross-functional teams.


• Ability to work in a fast-paced environment and adapt to changing priorities.