Junior Data Scientist

Job Title: Junior Data Scientist Company: Foximize Technologies Job Category: Data Science Roles & Responsibilities: About the Role: We are looking for an energetic and driven Junior Data Scientist with a strong foundational grasp of Python, Machine Learning, and emerging Generative AI/LLM paradigms. In this role, you will work closely with engineering and product teams to build, test, and optimize intelligent features—ranging from RAG (Retrieval\-Augmented Generation) pipelines and vector search systems to autonomous agent workflows. If you are passionate about pushing the boundaries of AI, eager to learn fast, and ready to ship production\-grade intelligent applications, we would love to meet you. Key Responsibilities: * GenAI \& LLM Integration: Design and implement LLM\-driven features, write robust prompts, and participate in prompt engineering and model evaluation tasks. * RAG \& Vector Search: Build, maintain, and optimize retrieval\-augmented generation pipelines using vector databases, semantic search, hybrid retrieval, and reranking mechanisms. * Agentic Workflows: Assist in developing agentic architectures and tool\-calling orchestrations using frameworks like LangChain, LangGraph, or AutoGen. * ML \& Deep Learning Foundations: Develop, evaluate, and fine\-tune traditional machine learning models (scikit\-learn) and neural network architectures (PyTorch/TensorFlow) for NLP and text processing tasks. * Deployment \& Collaboration: Containerize applications using Docker, participate in CI/CD pipelines, and collaborate with backend developers to integrate APIs into cloud environments (AWS/Azure/GCP). * Code Quality \& Engineering: Write clean, modular Python code, manage version control via Git, and ensure reliable data pipelines. Work Location: In person Work Location: In person Work Location: Cochin, India Availability: Full time

* Experience Range: 6 Months – 1 Year * Location: Kochi, Kerala / Hybrid Required Skills \& Qualifications: * Programming: Proficiency in Python, SQL, and REST API integration. * AI/ML \& GenAI Core: Familiarity with LLM integration, embeddings, vector databases, and foundational ML/DL libraries (Scikit\-learn, PyTorch/TensorFlow). * Frameworks \& Tools: Exposure to LangChain, LangGraph, Docker, and Git. * Experience: 6 months to 1 year of hands\-on experience (through internships, academic projects, or early industry roles) building and deploying data science or AI applications. Key Skills: Data Science, Python, SQL, Machine Learning Salary: Not disclosed