Job Title

Job Role: Python Developer with NLP and MLExperience in years: 4+Work Location: Kochi or MaduraiImmediate Joiners are preferredRole OverviewWe are looking for a highly skilled Python/ML/NLP Developer with approximately 4+ years of industry experience to design, develop, and deploy machine learning and natural language processing solutions. The ideal candidate will have strong hands-on experience in building ML models, working with large datasets, implementing NLP pipelines, and deploying models into production environments.Key Responsibilities- Design, develop, and optimize ML and NLP models for classification, clustering, information extraction, text generation, summarization, or recommendation tasks. - Build ML models for text-cleaning, language detection, NER, document classification, or post-OCR correction. - Develop NLP pipelines for correcting OCR errors using tokenization, embedding models (BERT, RoBERTa), and sequence models. - Create intelligent document-understanding systems using LayoutLM/Donut/TrOCR. - Build end-to-end NLP pipelines including preprocessing, tokenization, embedding generation, and model training. - Experiment with traditional ML methods (SVM, Random Forest, XGBoost) and deep learning architectures (RNNs, Transformers, BERT, GPT-based models). - Perform data exploration, feature engineering, and model evaluation using statistical and ML techniques. - Write clean, modular, and efficient Python code for data processing, automation, model training, and API development. - Develop reusable ML utilities, libraries, and pipelines to improve team productivity. - Integrate ML solutions into production systems using REST APIs, microservices, or batch pipelines. - Work with structured and unstructured data, including text, logs, and large datasets. - Implement efficient data preprocessing, cleaning, and transformation workflows. - Work with SQL/NoSQL databases and data tools (Pandas, NumPy, Spark optional). - Deploy ML/NLP models into production using Docker, FastAPI/Flask/Azure, or MLOps tools. - Monitor model performance, handle drift detection, and perform regular maintenance and retraining.