Python AWS Engineer (AI/ML) (On Site)

Python AWS Engineer (AI/ML)

Location:

Wilmington, DE (Onsite)

Experience:

10 12

Years Duration:

Long Term Job Summary 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. Required Skills Python AWS Terraform AI/ML Key Responsibilities 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. Required Qualifications 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. Preferred Qualifications 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.