Python & Ml Developer (Ahmedabad)

Data Scientist / Machine Learning Engineer Location: Ahmedabad, Gujarat (Onsite) Position Overview Key Responsibilities - Data Preparation: End-to-end data engineering, including data cleaning, preprocessing, robust feature engineering, and handling structured/unstructured datasets. - Model Development: Design, train, evaluate, and fine-tune machine learning models (e.g., Random Forest, XGBoost, ensemble methods) to deliver high-accuracy predictions and insights. - Advanced NLP (preferred): Explore, implement, and integrate NLP techniques and Large Language Models (LLMs) for text analysis, semantic search, or generative tasks. - Analytics & Visualization: Perform rigorous statistical analysis and translate complex data findings into clear, actionable insights using data visualization tools. - Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical data science solutions. Required Skills & Qualifications - Core Language: Strong, production-grade expertise in Python and its data science ecosystem (Pandas, NumPy, Scikit-Learn, etc.). - Machine Learning: Proven hands-on experience implementing tree-based algorithms like Random Forest, XGBoost, and LightGBM. - Mathematics: A solid, foundational understanding of statistical analysis, probability, and core machine learning methodologies. - Data Visualization: Proficiency with tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI to communicate data trends. Preferred Qualifications - Practical exposure to Natural Language Processing (NLP) frameworks (e.g., NLTK, Spacy, Transformers). - Hands-on experience or academic projects utilizing Large Language Models (LLMs) and prompt engineering. What We Offer - Chance to work on impactful, data-rich projects. - A collaborative and growth-oriented tech environment. - Competitive compensation based on experience. Why this version works better: - Action-Oriented Language: Phrases like _"pr .