Infor Careers 2024 Hiring Development Intern

Infor Careers 2024: Embark on a rewarding journey with Infor Careers 2024 as a Development Intern. This role offers a unique opportunity to immerse yourself in the dynamic world of software development. As a Development Intern at Infor, you’ll work alongside seasoned professionals, contribute to cutting-edge projects, and gain hands-on experience in developing innovative solutions. Whether you’re a recent graduate or a student seeking real-world exposure, this internship provides the perfect platform to kickstart your career in technology.

About Infor:

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Infor Careers 2024:

Company Name: Infor

Website: Infor

Wikipedia: Infor Wiki

Job Profile: Development Intern

Degree Needed: B.E/B.Tech

Passout Batch: 2023/2024

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Work Location: Hyderabad, India

Salary: Best In The Industry

Experience Level: 0 – 1 Year

Job Description and Requirements of Infor Careers:

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.

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