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.
Development and Automation:
Develop, test, and deploy Python-based scripts, applications, and workflows.
Automate routine tasks and implement monitoring tools to ensure system reliability.
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).
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