Experience: 12 - 14 Years
Mode of Interview: In Person
Visas: TN,L2
Job Description:
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.
* 12+ 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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