/h2> FULL-TIME Job Description

A skilled Python Developer who has some exposure to Artificial Intelligence and a strong background in DevOps and Cloud Technologies. As a Python Developer, he/she will be responsible for developing and maintaining critical software applications while leveraging your knowledge in AI and cloud technologies.

Responsibilities:

- Develop and maintain high-quality software applications using Python.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Utilize your exposure to Artificial Intelligence to integrate AI algorithms into software systems for improved functionality and automation.
- Design, develop, and optimize code with a strong focus on scalability and performance.
- Implement and manage cloud-based infrastructure, ensuring efficient deployment and continuous integration/delivery.
- Work closely with DevOps teams to streamline software development and deployment processes.
- Troubleshoot, debug, and fix issues in new and existing software applications.
- Stay up-to-date with industry trends and advancements in AI, Python, DevOps, and cloud technologies, and integrate the latest practices into development processes.

Requirements:
- Bachelors degree in Computer Science or a related field.
- Proven work experience as a Python Developer, ideally with exposure to AI projects.
- Working knowledge and developing workflows / POCs/ applications using LLM s is a must.
- Solid understanding of Python programming language,



its best practices, and commonly used libraries.
- Knowledge of AI concepts, such as data preprocessing, machine learning algorithms, and natural language processing.
- Proficiency in working with DevOps tools like Docker, Kubernetes, Git, Jenkins, etc.
- Experience in deploying and managing applications on cloud platforms like AWS, Azure, or GCP.
- Solid problem-solving skills and the ability to adapt quickly to changing requirements and technologies.
- Excellent communication and teamwork skills, with an ability to work collaboratively across teams.

Preferred Skills:
- Familiarity with popular AI libraries like TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud-based machine learning services, such as Amazon SageMaker or Google Cloud ML Engine.
- Working knowledge / developing experience in LLM agents / frameworks like Lang flow is desired.
- Knowledge of containerization and orchestration tools like Docker Swarm or Kubernetes.
- Understanding of infrastructure-as-code principles and experience with tools like Terraform or CloudFormation.
- Knowledge code repositories like GIT is desirable.
- Familiarity with Agile/Scrum methodologies for software development.

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Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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