Walk-in || Software Engineer Trainee

Trainee Software Engineer – LevelShift Are you interested in software development, data, and artificial intelligence, with a passion for building intelligent cloud-based solutions? Join LevelShift as a Trainee Software Engineer and gain hands-on experience in data engineering, AI/ML, and enterprise application development. Work on real-world projects involving AI, data analytics, cloud platforms, and Salesforce. This is an excellent opportunity for candidates who are analytical, curious, and eager to learn and develop their technical skills. Walk-In Details: Date: Thursday, 12 November 2026 Reporting Time: 10:00 AM – 11:00 AM Venue: LevelShift, Siruseri SIPCOT IT Park, Chennai Work Mode: Work from Office (5 days a week) Joining: Immediate joiners Eligibility Criteria: Minimum 80% aggregate in 10th, 12th, and undergraduate studies. No active or previous arrears. No educational gaps. Key Responsibilities: Conduct exploratory data analysis (EDA) to identify insights, trends, and patterns. Assist in developing AI/ML models, predictive solutions, and intelligent features. Support data engineering activities, including data cleaning, transformation, feature engineering, and basic pipeline development. Work with structured and semi-structured data formats such as CSV, JSON, and XML, along with APIs. Collaborate with senior engineers and data scientists to develop, test, deploy, and optimize solutions. Utilize cloud platforms such as Azure, AWS, and GCP for application, data, and machine learning workloads. Troubleshoot issues, debug code, and enhance system performance. Continuously learn and stay updated with emerging AI, cloud, and platform technologies. Required Skills and Qualifications: B.E./B.Tech., BCA/MCA, or B.Sc./M.Sc. in Computer Science, Information Technology, AI & Data Science, or a related discipline. Strong programming fundamentals in Python or Java. Good understanding of data structures, object-oriented programming (OOP), and SQL. Basic knowledge of machine learning concepts, including regression, classification, and clustering. Familiarity with data modeling, schemas, and relationships. Experience working with JSON, CSV, and XML data formats, along with a basic understanding of REST APIs. Strong analytical, critical thinking, and problem-solving skills. Good verbal and written communication skills. Academic projects, internships, or practical learning experience in AI, data, or application development. Additional Skills (Preferred): Exposure to Salesforce technologies such as Apex, LWC, SOQL/SOSL, and Flow. Familiarity with AI/ML frameworks such as Scikit-learn, TensorFlow, and PyTorch. Knowledge of cloud ML services such as Azure ML, AWS SageMaker, and Google Vertex AI. Understanding of MLOps concepts. Familiarity with Git and Jupyter Notebooks. Why LevelShift? Work with a digital-first engineering team developing next-generation solutions. Gain practical exposure to AI, data engineering, cloud platforms, and Salesforce ecosystems. Learn from experienced engineers and data scientists in a collaborative environment. Contribute to real-world projects that deliver value to customers and businesses. Build a strong foundation for a career in software engineering, data, and AI. Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development