Job
Description
**Job Description:** As a Python Developer in this role, you will be responsible for implementing Python concepts, writing efficient code, and handling data processing tasks. You will also take part in AI/ML/LLM development, infrastructure design, and deployment of AI solutions. Additionally, you will have some additional responsibilities such as conducting sentiment analysis and collaborating with cross-functional teams. **Key Responsibilities:** - Implement Python concepts such as staticmethod vs classmethod, lambda functions, and list/tuple operations. - Write efficient code for array-based operations, data validation, and scenario-based problem-solving. - Perform structured and unstructured data manipulation using Python libraries. - Execute advanced DataFrame operations like groupby and aggregation tasks. - Design and implement retrieval-augmented generation (RAG) workflows in AI/ML/LLM development. - Deploy models using frameworks like Uvicorn, Gunicorn, and containerized environments. - Conduct sentiment analysis using LLMs, collaborate with cross-functional teams, and document workflows. **Qualifications:** - Bachelor's or Master's degree in Computer Science, Data Science, or related field. - Strong Python programming skills with knowledge of advanced features and libraries. - Hands-on experience with AI/ML frameworks, LLMs, and agentic AI workflows. - Experience with OCR tools like Tesseract and PaddleOCR. - Knowledge of data preprocessing, handling skewness, and tabular data extraction. - Familiarity with production deployment pipelines and architecture considerations. - Excellent problem-solving, analytical, and communication skills. (Note: Additional details of the company are not present in the job description) **Job Description:** As a Python Developer in this role, you will be responsible for implementing Python concepts, writing efficient code, and handling data processing tasks. You will also take part in AI/ML/LLM development, infrastructure design, and deployment of AI solutions. Additionally, you will have some additional responsibilities such as conducting sentiment analysis and collaborating with cross-functional teams. **Key Responsibilities:** - Implement Python concepts such as staticmethod vs classmethod, lambda functions, and list/tuple operations. - Write efficient code for array-based operations, data validation, and scenario-based problem-solving. - Perform structured and unstructured data manipulation using Python libraries. - Execute advanced DataFrame operations like groupby and aggregation tasks. - Design and implement retrieval-augmented generation (RAG) workflows in AI/ML/LLM development. - Deploy models using frameworks like Uvicorn, Gunicorn, and containerized environments. - Conduct sentiment analysis using LLMs, collaborate with cross-functional teams, and document workflows. **Qualifications:** - Bachelor's or Master's degree in Computer Science, Data Science, or related field. - Strong Python programming skills with knowledge of advanced features and libraries. - Hands-on experience with AI/ML frameworks, LLMs, and agentic AI workflows. - Experience with OCR tools like Tesseract and PaddleOCR. - Knowledge of data preprocessing, handling skewness, and tabular data extraction. - Familiarity with production deployment pipelines and architecture considerations. - Excellent problem-solving, analytical, and communication skills. (Note: Additional details of the company are not present in the job description)
