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Senior AI Engineer,Fine -tune Chatbot-BERT-apply for 3years Experience

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

AI/ML Engineer – Monkify.ai πŸ“ **Location: Remote πŸ’Ό Experience: 3+ years πŸš€ Type: Full-time Budget:- 5lpa to 12LPA Max ### About Monkify.ai Monkify.ai is revolutionizing the recruitment industry with cutting-edge AI-powered solutions. We are building a next-gen hiring platform that bridges the gap between recruiters and top talent using intelligent job-candidate matching, real-time analytics, and seamless communication tools. We are looking for a passionate AI/ML Engineer to join our team and help shape the future of AI-driven recruitment! If you thrive in a fast-paced environment and love solving complex AI challenges, this role is for you. ### Responsibilities: πŸ”Ή Design, develop, and optimize NLP-based models for job-candidate matching πŸ”Ή Implement machine learning algorithms for ranking, recommendation, and skill extraction πŸ”Ή Work with large-scale datasets to train and fine-tune AI models πŸ”Ή Collaborate with backend engineers to integrate AI models into the Monkify.ai platform πŸ”Ή Research and experiment with BERT, DistilBERT, spaCy, and TF-IDF for candidate-job profile matching πŸ”Ή Optimize AI models for scalability, accuracy, and low latency πŸ”Ή Monitor AI/ML performance and improve models based on user feedback and real-world usage ### Requirements: βœ… 2+ years of experience in AI/ML, NLP, or Data Science βœ… Proficiency in Python, TensorFlow, PyTorch, or scikit-learn βœ… Strong understanding of NLP techniques, deep learning, and machine learning pipelines βœ… Experience with vector embeddings, semantic search, and LLM fine-tuning βœ… Knowledge of AWS/GCP AI services for model deployment is a plus βœ… Ability to work independently and in a fast-moving startup environment Skills:- Fine-tune a BERT-based model for a chatbot LLM, Hugging Face and API Integration(Fast/Flask& Django), knowledge into AWS Show more Show less

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