AI/ML Computational Science Associate

About the Role The AI/ML Computational Science Associate role provides an opportunity to work with Python-based applications, automation, data processing, AI, cloud, and modern software development practices. The role is suitable for freshers and early-career candidates with 0–2 years of experience who have a foundation in Python programming and software engineering. You will work with experienced development teams and participate in application development, debugging, API development, automation, data processing, analytics, and adoption of emerging technologies. Responsibilities 1. Python Development Develop, test, and maintain Python-based applications and scripts. Participate in coding and debugging activities. Troubleshoot software-related issues. 2. REST APIs & Backend Assist in developing REST APIs. Support backend services and related development activities. 3. Automation Support automation initiatives. Contribute to process improvement activities. 4. Data & Analytics Work on data processing. Support reporting solutions. Contribute to analytics solutions. 5. Software Development Participate in code reviews. Follow coding standards and development best practices. Work according to the Software Development Life Cycle (SDLC). 6. Collaboration Collaborate with cross-functional teams. Prepare technical documentation. Provide project updates. 7. Continuous Learning Learn and adopt emerging technologies. Work with new tools and frameworks as required.

Educational Qualification BE/BTech degree. Experience 0–2 years of experience. Suitable for freshers and early-career candidates. Technical Requirements 1. Python Good knowledge of Python programming. 2. Object-Oriented Programming Understanding of OOP concepts. 3. Data Structures & Algorithms Basic knowledge of Data Structures and Algorithms. 4. SQL & Databases Basic knowledge of SQL. Understanding of database concepts. 5. REST APIs Basic knowledge of REST APIs. 6. Git Basic knowledge of Git version control. 7. SDLC Understanding of the Software Development Life Cycle. Soft-Skill Requirements Strong analytical skills. Strong problem-solving skills. Good communication skills. Good teamwork and collaboration skills.