Cornerstone Hiring Intern

 This role is Office Based

As a Junior Engineer – QA  Intern, you will be responsible for ensuring the quality and reliability of software products through the design, development, and execution of automated test scripts. Your primary focus will be on creating, maintaining, and executing test scripts to identify and report software defects. You will work closely with the development team to understand software requirements and implement efficient automated test strategies. This role offers an excellent opportunity to gain hands-on experience in software testing and automation.

In this role you will….

• Develop automated test scripts using in-house developed test automation tools and frameworks.
• Collaborate with the development team to understand software requirements and provide input on testability.
• Execute automated test cases to verify software functionality and reliability.
• Identify, analyze, and report software defects, and work with the development team to resolve them.
• Create and maintain test data, test environments, and test documentation.
• Participate in test planning, test estimation, and test strategy discussions.
• Contribute to the continuous improvement of the test automation process and tools.
• Stay up to date with the latest testing methodologies, tools, and technologies.
• Collaborate with cross-functional teams to ensure high-quality software releases.
• Follow industry best practices for software testing and maintain high standards of quality.
  

  Apply Link : Click Here

  Infor Hiring Development Intern

   

  Description & Requirements

  Model Development: Collaborate with cross-functional teams to design, implement, and improve AI/ML models. You will be responsible for building innovative models from scratch and integrating them into existing systems.

  Fine-tuning Models: Utilize transfer learning techniques to fine-tune pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy, speed, and resource efficiency.

  Data Clean-up: Conduct thorough data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques to enhance the performance of AI/ML models.

  Natural Language Processing (NLP): Drive research and development in NLP, focusing on tasks like sentiment analysis, named entity recognition, text classification, and language understanding.

  Large Language Models (LLMs): Work with state-of-the-art LLMs, such as GPT-3, and explore their applications in various domains. Continuously improve LLM performance and adapt them to specific use cases.

  Research and Innovation: Stay up-to-date with the latest advancements in AI/ML, NLP, and LLMs. Propose and experiment with novel approaches to solve complex problems and improve existing methodologies.

  Deployment and Monitoring: Collaborate with DevOps teams to deploy AI/ML models into production environments. Implement monitoring mechanisms to track model performance and identify opportunities for optimization.

  Documentation: Maintain clear and concise documentation of all AI/ML processes, models, and improvements to ensure knowledge sharing and facilitate team collaboration.

  Apply Link : Click Here

  Segate Hiring Data Science Intern

   

  About the role – you will:

   

  • Assist with implementing end to end ML pipelines and deliver scalable production Machine learning services
  • Collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
  • Leverage MLops tools to support ML workflows including experimentation, training and production operations
  • Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
  • Work on multiple streams of analytics which includes Time series , image and Tabular data
  • Work on building accelerators and ML frameworks

  Apply Link : Click Here

  Bentley Hiring Freshers

   

  Required Knowledge, Skills, Abilities, and Experience:

  • BE/MS (Computer Science & Engineering ONLY) with 0-5 years of experience in Automation Tools Development.
  • Extensive programming skills C++, C#, OOPS.
  • Knowledge of Unit Testing tools, Mock Testing Tools, Code Coverage Tools
  • Knowledge of Scenario and Integration Testing
  • Knowledge of WPF, Telerik.
  • Good debugging skills.
  • Good knowledge of Design Patterns, Memory Management.
  • Knowledge of UML Diagrams.
  • Strong analytical and problem-solving skills.
  • Experience in automation tools like Test Complete, WinAppDriver is a plus.
  • Experience in consumption of Cloud Services and REST interfaces.
  • Working in Microsoft Azure or consuming Azure services.
  • Knowledge of Agile Scrum Development, Test Driven Development, Continuous Delivery and DevOps processes.
  • Should be able to learn wide range of technologies.
  • Understanding of different Code Coverage Tools.
  • Should be able to find gaps and write new Automated Tests and maintain it.
  • Good Communication skills.
  • Excellent team skills and proven ability to work effectively across multiple teams and functional areas.

  Apply Link : Click Here