Software Development Engineer-AI/ML

We are looking for a talented and experienced engineer to join our DevOps and AI-focused team. In this role, you will have the opportunity to make a significant impact on our technology by leveraging your skills in Python, AI/ML, and data handling. You will collaborate closely with data engineers and the DevOps team to process and analyze Big Data, extract valuable insights, and integrate AI/ML models into our software systems.

Your responsibilities

• Develop and implement software solutions for data-centric projects, ensuring high performance and scalability.
• Collaborate with corss-functional teams on applications that boost Engineering Productivity.
• Utilize cloud platforms (GCP/Azure/AWS) and containerization technologies (Docker, Kubernetes) for efficient infrastructure management.
• Implement CI/CD practices and Jenkins for automated testing and deployment, enhancing our development processes.
• Apply your Python skills to build robust and maintainable code, following best practices.
• Stay updated with the latest trends in GenAI, Vector DB, and Machine Learning to incorporate innovative features.
• Ensure data security and privacy by implementing robust security measures throughout the software development lifecycle.
• Document and communicate technical designs and decisions effectively, promoting knowledge sharing within the team.
• Provide support and troubleshooting for deployed systems, ensuring smooth operations.

Your skills and experience

• Bachelor's degree in Computer Science, Electronics, or a relevant field is required.
• 3+ years of experience in software development, with a strong focus on Python.
• Proficiency in DevOps practices, including cloud platforms and containerization.
• Hands-on experience with CI/CD tools like Jenkins is essential.
• Strong understanding of AI concepts, including RAG, GenAI, and Vector DB.
• Excellent communication skills to collaborate effectively with diverse teams.
• Ability to work independently and manage multiple tasks simultaneously.
• Familiarity with BigData technologies is an advantage.
• Eagerness to learn and adapt to new technologies and industry trends.
• A problem-solving mindset and a passion for continuous improvement.