Infor Internship for Freshers | Development Intern. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post. Apply Before the job is filled.
About Infor
Infor is a leading global provider of business software solutions, committed to empowering organizations with innovative technology to drive their success. With a comprehensive suite of industry-specific applications and deep domain expertise, Infor enables businesses to streamline their operations, enhance productivity, and make data-driven decisions. Their solutions span across various sectors, including manufacturing, healthcare, retail, and more, helping companies optimize their processes and stay ahead in today’s competitive landscape. With a customer-centric approach and a focus on delivering measurable business outcomes, Infor continues to be a trusted partner for organizations looking to transform their operations and achieve sustainable growth.
Infor Internship for Freshers | Development Intern
Company name | Infor |
Website | www.infor.com |
Job Role | Development Intern |
Work Location | Hyderabad, India |
Job Type | Full Time |
Experience | Freshers |
Qualification | BE/B.Tech/ME/M.Tech/MCA |
Batch | Not Mentioned |
Package | 4 – 6 LPA (Expected) |
Job Description – Infor Internship for Freshers | Development Intern
Job Responsibilities:
Model Development:
Collaborate with interdisciplinary teams to devise, implement, and enhance AI/ML models. This entails constructing innovative models from the ground up and seamlessly integrating them into current systems.
Model Refinement:
Employ transfer learning methods to refine pre-existing models for specific tasks and domains. Ensure models are finely tuned for accuracy, speed, and resource utilization.
Data Preparation:
Conduct comprehensive data analysis and preprocessing to guarantee the quality and pertinence of training datasets. Implement data cleansing techniques to augment the performance of AI/ML models.
Natural Language Processing (NLP):
Spearhead research and development efforts in NLP, with a focus on tasks such as sentiment analysis, named entity recognition, text classification, and language comprehension.
Large Language Models (LLMs):
Engage with cutting-edge LLMs, such as GPT-3, and explore their applicability across diverse domains. Continuously enhance LLM performance and tailor them to specific usage scenarios.
Innovation and Research:
Remain abreast of the latest advancements in AI/ML, NLP, and LLMs. Suggest and experiment with innovative approaches to address intricate problems and refine existing methodologies.
Deployment and Monitoring:
Collaborate with DevOps teams to deploy AI/ML models in production environments. Implement monitoring systems to oversee model performance and identify avenues for optimization.
Documentation:
Maintain comprehensive and concise documentation detailing all AI/ML processes, models, and enhancements. This facilitates knowledge dissemination and promotes effective team collaboration.
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I want job
I am fresher
I want Part time job