Job
Description
DataScientist with NLP AI ML and testing: Experience: 4-8 years Location: Chennai/bangalore Senior Engineer Key Responsibilities Develop, test, and maintain Python-based applications for AI/ML and NLP usecases Design, build, and train models using ML/NLP techniques and GenAI frameworks Implement unit, integration, and functional tests for model pipelines and services Fine-tune large language models (LLMs) or integrate pre-trained APIs (e.g., OpenAI, Hugging Face) Collaborate with data scientists and MLOps teams to deploy models in production Write reusable, testable, and efficient code with proper documentation Design data pipelines and preprocessing functions for unstructured textual data Participate in code reviews and follow CI/CD best practices Perform exploratory data analysis (EDA) and model validation _______________________________ _________ Must-Have Technical SkillsCategory Languages - Python (Advanced), Shell scripting (Basic) Testing - PyTest, unittest, integration testing, test coverage tools (e.g., coverage.py), mocking (pytest-mock) GenAI Platforms - OpenAI API, LangChain, Hugging Face Transformers, LlamaIndex ML Frameworks - scikit-learn, TensorFlow, PyTorch, XGBoost NLP Libraries - spaCy, NLTK, Hugging Face, Gensim, fastText Data Manipulation - Pandas, NumPy, Dask Visualization - Matplotlib, Seaborn, Plotly DevOps / CI-CD - Git, Docker, Jenkins, GitHub Actions MLOps / Model Serving - MLflow, FastAPI, Streamlit, Flask, ONNX, TorchServe Cloud Platforms - AWS (S3, SageMaker, Lambda), Azure ML, GCP (Vertex AI) Databases - PostgreSQL, MongoDB, Redis, SQLite _______________________________ _________ Nice-to-Have Skills Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) Prompt engineering for LLMs Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) Prompt engineering for LLMs Familiarity with LLMOps tools (e.g., LangSmith, PromptLayer, BentoML)
