AI Data Analyst

As an experienced AI Data Analyst with 7+ years of professional experience, including leadership in tech projects, you will be responsible for working on cutting-edge AI solutions at a company located in Mahape, Navi Mumbai with a Hybrid Work from Office setup. Your expertise in Python, Machine Learning, AI APIs, and Large Language Models (LLMs) will be essential for this role. **Key Responsibilities:** - Perform data exploration, profiling, and cleaning across large datasets. - Design, implement, and evaluate machine learning and AI models for business problems. - Leverage LLM APIs, foundation models, and vector databases to power AI-driven analysis. - Build end-to-end ML workflows from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to scale AI solutions across business processes. **Required Skills:** **Data Analysis:** - 1+ year of hands-on experience working with real-world datasets. - Strong Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. **Machine Learning & AI:** - 2+ years of experience applying machine learning techniques (classification, regression, clustering, etc.). - 1+ year of hands-on experience with AI technologies, including Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Familiarity with model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. **Programming:** - 3+ years of Python programming experience, with proficiency in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. **Tools & Technologies:** - SQL/PostgreSQL proficiency. - Experience with vector databases (e.g., pgvector, ChromaDB). - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with AWS, SageMaker, or similar cloud platforms. - Version control systems knowledge (e.g., Git), REST APIs, and Linux. **Good to Have:** - Experience with Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. **Soft Skills:** - Strong problem-solving mindset and analytical thinking. - Excellent communication skills, capable of presenting technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment.,