Job Summary

We are seeking a 3+ years AI Development Engineer with deep expertise in Natural Language Processing (NLP), machine learning, and scalable AI system development. The ideal candidate will design, develop, and deploy advanced NLP models and AI solutions using modern machine learning frameworks, Python-based ecosystems, and cloud-native infrastructure. This role requires robust experience in text processing, factorization techniques, deep learning models, and production deployment of AI systems. Key Responsibilities Design, build, and optimize NLP models for tasks such as text classification, summarization, sentiment analysis, entity recognition, and question answering. Implement machine learning algorithms and factorization techniques (e.g., matrix factorization, embedding methods, dimensionality reduction). Develop scalable AI solutions using Python-based ML frameworks. Work with large-scale text datasets and build data pipelines for preprocessing and feature engineering. Deploy AI models to production using cloud platforms and containerized environments. Optimize model performance, latency, and scalability in production environments. Collaborate with product managers, data engineers, and software developers to integrate AI solutions into applications. Monitor model performance and continuously improve models through experimentation and evaluation.



Stay up to date with advances in NLP, generative AI, and machine learning research. Required Skills Programming & Frameworks Strong proficiency in Python Experience with ML/NLP libraries such as: TensorFlow PyTorch scikit-learn spaCy Hugging Face Transformers NLP Expertise Tokenization, embeddings, semantic similarity Named Entity Recognition (NER) Topic modeling Text classification and clustering Knowledge of transformer architectures (BERT, GPT-like models) Machine Learning & Factorization Matrix factorization Feature engineering Dimensionality reduction (PCA, SVD) Model evaluation and hyperparameter tuning Cloud & Deployment Experience deploying ML systems on: AWS, Azure, or Google Cloud Docker / Kubernetes REST APIs or microservices for model serving Data Engineering Experience working with large datasets Data preprocessing pipelines SQL / NoSQL databases Preferred Qualifications Master’s or PhD in Computer Science, AI, Machine Learning, or related field Experience with LLMs and Generative AI Knowledge of MLOps practices Experience with vector databases and semantic search Familiarity with CI/CD pipelines for ML systems Soft Skills Strong analytical and problem-solving ability Excellent communication and collaboration skills.

Pay: ₹700,000.00 - ₹900,000.00 per year

Work Location: In person

📌 AI/ML Engineer (India)
🏢 Hypr4 Cloud Tech
📍 India