Python Developer with ML and NLP

4 years

5 - 10 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Role: Python Developer with ML and NLP

Experience in years: 4+

Work Location: Kochi or Madurai

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.

Job Types: Full-time, Permanent

Pay: ₹500,000.00 - ₹1,000,000.00 per year

Benefits:

  • Health insurance
  • Provident Fund

Work Location: In person

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