About the job
Key Responsibilities • Data science & analytics: • Develop and maintain AI-powered applications using Python. These applications integrate LLM APIs from OpenAI, Google Gemini, Anthropic, or Hugging Face. • Implement intelligent agents and workflows using LangChain, LangGraph, or CrewAI. • Design and optimize Retrieval-Augmented Generation (RAG) systems with vector databases like Pinecone, PGVector, or Weaviate. • Fine-tune pre-trained models using Hugging Face Transformers, PyTorch, or TensorFlow. Optimize models for performance and cost-efficiency. • Evaluate model performance and experiment with new GenAI tools. Stay current with the latest AI advancements. • Develop and deploy machine learning models using Python libraries (Pandas, NumPy, Scikit-learn, TensorFlow, etc.). • Perform data preprocessing, feature engineering, and statistical analysis to extract actionable insights. • Integrate predictive models into production-ready applications. • Backend development (Python + Flask): • Design and implement RESTful APIs using Flask. Integrate AI functionality into existing backend systems and web applications. • Ensure secure authentication, authorization, and session management. • Optimize backend performance and scalability. • Frontend development (React): • Build dynamic, responsive, and user-friendly web interfaces using React.js. • Collaborate with UI/UX designers to translate wireframes into functional components. • Manage state efficiently with Redux or Context API. • Database management (MySQL): • Design normalized relational database schemas. • Write optimized SQL queries for data retrieval and manipulation. • Ensure data integrity, security, and performance tuning.
Requirements
- Python
- Flask
- React
- MySQL
Preferred Technologies
- Python
- Flask
- React
- MySQL
About the company
We are a data analytics, IoT and digital services provider with offices in Bangalore and Pune. We are passionate about applying technology for better business decisions.
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