About the Role We are seeking a motivated and technically skilled Data Scientist with 4 years of experience in applying AI ML techniques to solve real-world problems The ideal candidate will possess a solid foundation in machine learning statistical modeling and data analysis with hands-on experience working with large datasets and deploying models in production environments Key Responsibilities Design develop and deploy machine learning models and AI solutions for business problems across multiple domains Collaborate with cross-functional teams including engineering product and analytics to identify opportunities for data-driven solutions Perform exploratory data analysis EDA feature engineering and model selection using industry best practices Conduct experiments and perform model validation and performance tuning Build reusable code and libraries for future use and contribute to data science platform improvements Present findings and insights clearly to both technical and non-technical stakeholders Required Skills Qualifications 4 years of relevant experience in data science with hands-on experience in machine learning deep learning or AI systems Proficiency in Python and relevant libraries e g Pandas Scikit-learn TensorFlow PyTorch NumPy etc Strong understanding of supervised unsupervised and reinforcement learning techniques Experience with SQL data wrangling and working with large datasets Exposure to cloud platforms like AWS Azure or GCP is a plus Familiarity with MLOps model deployment and version control e g Git Preferred Qualifications Experience working with NLP computer vision or time-series forecasting Familiarity with data visualization tools e g Matplotlib Seaborn Power BI Tableau Understanding of A B testing causal inference and statistical hypothesis testing Ability to work in a quick-paced agile environment with minimal supervision Experience in GenAI frameworks OpenAI Vertex AI multi-agent architectures and MLOps tooling Tech Stack Languages Frameworks Python Java SQL JavaScript TypeScript TensorFlow PyTorch Scikit-learn Cloud Platform GCP - Vertex AI BigQuery Cloud Functions Cloud Run Dataflow Pub Sub Data MLOps BigQuery AlloyDB MongoDB Redis Any relation Database - Oracle MySQL MSSQL Any of the MLOps - MLflow Kubeflow Airflow Docker Kubernetes GenAI Agents Vertex AI Gemini OpenAI Claude LangChain LlamaIndex FAISS Pinecone RAG pipelines autonomous agents multi-agent orchestration memory modules tool use prompt chaining Dev Tools GitHub Copilot ChatGPT Cursor AI or any other Gen AI Tools