Job Role: Python Developer with NLP and ML
Experience in years: 4+
Work Location: Kochi or Madurai
Immediate Joiners are preferred
Role Overview
We 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.
