AWS Python Developer//F2F Required

Location: Reston ONLY – 3 Days Hybrid

Duration: Long term

Description:

Key Responsibilities:

1. Python Development:
   • Design, develop, and maintain Python-based applications and tools.
   • Write clean, efficient, and reusable code while adhering to best practices.
   • Integrate third-party APIs and libraries as needed.
   • Perform code reviews, testing, debugging, and optimization.
2. Generative AI Development:
   • Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.
   • Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
   • Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).
   • Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
   • Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.
   • Collaborate with UI/UX teams to integrate AI models into applications.
   • Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.
4. Deployment & Maintenance:
   • Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.
   • Monitor system performance and optimize scalability and reliability.
   • Troubleshoot issues in production and implement fixes.
5. Documentation:
   • Create comprehensive documentation for AI models, tools, and code.
   • Provide guidelines for users and teams for seamless integration and usage.
6. L3 Support:
   • Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.
   • Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.
   • Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
7. Development and Automation:
   • Develop, test, and deploy Python-based scripts, applications, and workflows.
   • Automate routine tasks and implement monitoring tools to ensure system reliability.
8. AWS Cloud Management:
   • Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker, EMR, Redshift, etc.).
   • Optimize AWS services for cost efficiency and performance.

Required Skills and Qualifications:

• Technical Skills:
  • Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
  • Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
  • Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
  • Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with RESTful APIs and integration of AI/ML solutions.
  • Strong debugging and problem-solving skills in production environments.
• Soft Skills:
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and manage competing priorities.
• Education and Experience:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 10 years of experience in software development, with 5 years in AWS and AI/ML technologies.

Preferred Skills:

• Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
• Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).