Machine Learning Engineer

As an AI Engineer at our company, your role will involve designing, training, and deploying machine learning models for real-world applications. You will be responsible for implementing NLP-based solutions, such as Zero-Shot and Few-Shot classification algorithms, and applying TF-IDF, Word2Vec, and BERT for text-based processing tasks. Additionally, you will develop Generative AI models like OpenAI and LLaMA for business use cases. Working with various ML algorithms, including Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, and Bayesian models, will be part of your responsibilities. You will also build and manage RESTful APIs and microservices using Flask/FastAPI and collaborate with product and business teams to translate requirements into scalable AI solutions. Managing data pipelines, integrating structured/unstructured data from MongoDB and MySQL, using Git/Bitbucket for version control, and following best practices in collaborative coding will also be crucial aspects of your role. Supporting project management using JIRA/Asana will be another key responsibility. **Key Responsibilities:** - 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 (OpenAI, LLaMA, etc.) for business use cases - Work with ML algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian models, etc.) - Build and manage RESTful APIs and microservices using Flask/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/Bitbucket for version control and best practices in collaborative coding - Support project management using JIRA/Asana **Qualifications:** - Bachelors/Masters in Computer Science, Engineering, Mathematics, or Statistics - Certification in ML/Deep Learning/NLP preferred In this job description, there are no additional details of the company present.,