Python AWS Engineer (AI/ML)

We are looking for a highly skilled Python AWS Engineer with strong expertise in cloud-native application development, distributed data processing, and DevOps practices. The ideal candidate should have hands-on experience in Python development, AWS cloud services, infrastructure automation, and scalable data engineering solutions. Exposure to AI/ML technologies and AI-assisted development tools is highly preferred., * Design, develop, and maintain scalable and high-performance Python applications.

• Build and optimize distributed data processing solutions using PySpark and Spark SQL.
• Develop and manage ETL/data pipelines and orchestration workflows using tools such as Airflow, Kafka, Jenkins, and Spinnaker.
• Implement infrastructure automation and provisioning using Terraform.
• Work extensively with AWS cloud services including:

• S3
• EC2
• Lambda
• ECS
• EventBridge

• Develop REST APIs and backend services using frameworks such as Flask or Django.
• Perform unit testing, integration testing, debugging, and troubleshooting using frameworks like PyTest and PyUnit.
• Collaborate with cross-functional teams to deliver scalable and reliable solutions.
• Implement CI/CD pipelines and DevOps best practices for automated deployments.
• Participate in architecture discussions and performance optimization initiatives.
• Explore and integrate AI/ML capabilities into enterprise applications where applicable.

• Python
• AWS
• Terraform
• AI/ML, * Strong proficiency in Python programming with excellent coding and problem-solving skills.
• Hands-on experience with PySpark, Spark APIs, and distributed data processing.
• Strong knowledge of Python libraries/frameworks including:

• Pandas
• NumPy
• Flask
• Django

• Strong understanding of scalable system design and cloud-native architectures.
• Experience working with AWS cloud services and infrastructure.
• Experience with CI/CD pipelines and DevOps methodologies.
• Hands-on experience with Infrastructure-as-Code tools such as Terraform.
• Strong debugging, testing, and troubleshooting skills., * Experience with Snowflake or Databricks.
• Exposure to Machine Learning and Artificial Intelligence frameworks/tools.
• Familiarity with AI-assisted development tools such as GitHub Copilot.
• Understanding of Large Language Models (LLMs) and AI-driven productivity solutions.

Soft Skills

• Strong communication and collaboration skills.
• Ability to work effectively in a fast-paced Agile environment.
• Strong analytical and troubleshooting abilities.
• Self-motivated and detail-oriented mindset.