AI Engineer | ML/NLP/Generative AI

Job highlights

• Support project management using JIRA and Asana. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users

• Design, train, and deploy machine learning models for real-world applications.

• Implement NLP-based solutions including Zero-Shot and Few-Shot classification algorithms.

• Apply TF-IDF, Word2Vec, and BERT for text-based processing tasks.

• Develop and fine-tune Generative AI models such as OpenAI and LLaMA for business use cases.

• Work with ML algorithms including Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, and Bayesian models.

• Build and manage RESTful APIs and microservices using Flask and FastAPI.

• Collaborate with product and business teams to translate requirements into scalable AI solutions.

• Manage data pipelines and integrate structured/unstructured data from MongoDB and MySQL.

• Use Git and Bitbucket for version control and collaborative coding.

• Support project management using JIRA and Asana.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.