Data Scientist

EXPERIENCE: 8+ YEARS JOB DESCRIPTION: We are seeking a highly motivated Data Scientist with strong expertise in Google Cloud Platform (GCP) , Machine Learning , and Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, and business insights Perform data exploration, feature engineering, and statistical modeling Communicate insights clearly to technical and non-technical stakeholders Machine Learning Design, build, and evaluate ML models (supervised, unsupervised, time-series, NLP) Implement end-to-end ML pipelines including data ingestion, training, validation, and deployment Perform model monitoring, performance tuning, and retraining Apply best practices in model interpretability, fairness, and bias detection Generative AI Develop and integrate Generative AI solutions using LLMs (e.g., Gemini, OpenAI, open-source models) Implement use cases such as chatbots, document summarization, semantic search, and text generation Apply prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation) techniques Evaluate LLM performance using appropriate metrics Google Cloud Platform (GCP) Build and deploy solutions using GCP services , including: BigQuery, Cloud Storage Vertex AI (AutoML, custom training, model deployment) Dataflow, Dataproc Cloud Functions / Cloud Run Use GCP for scalable, secure, and cost-efficient ML workloads