Data Scientist

Job Title: GCP Data Scientist Location: Raritan, NJ (Onsite) Job Summar yWe are seeking an experienced GCP Data Scientist with AI/ML expertise to design, develop, and deploy machine learning solutions on Google Cloud Platform (GCP). The ideal candidate will have strong experience in data science, statistical modeling, AI/ML algorithms, and cloud-native ML services. You will work closely with data engineers, software developers, and business stakeholders to build scalable, production-ready AI solutions that drive business value .Key Responsibilitie • sDesign, develop, and deploy machine learning and deep learning models on Google Cloud Platform (GCP) • .Build end-to-end AI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment • .Utilize Vertex AI, BigQuery ML, Cloud Storage, Dataflow, Dataproc, and other GCP services for scalable ML workflows • .Develop predictive models using supervised, unsupervised, and reinforcement learning techniques • .Perform exploratory data analysis (EDA), feature selection, and statistical analysis on structured and unstructured datasets • .Train, fine-tune, and optimize machine learning models for performance, scalability, and accuracy • .Deploy models using Vertex AI, Docker containers, REST APIs, and CI/CD pipelines • .Monitor model performance, detect model drift, and implement retraining strategies • .Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions • .Create dashboards and reports to communicate analytical insights to technical and non-technical stakeholders • .Ensure compliance with data governance, security, and privacy standards .Required Skill • s12+ years of experience in Data Science, Machine Learning, or AI • .Strong experience with Google Cloud Platform (GCP) • .Hands-on experience with Vertex AI • .Experience with BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and Pub/Sub • .Strong programming skills in Python • .Experience with SQL for data analysis and data manipulation • .Experience with machine learning libraries • :Scikit-lear • nTensorFlo • wPyTorc • hXGBoos • tKera • sStrong knowledge of • :Machine Learnin • gDeep Learnin • gNatural Language Processing (NLP • )Computer Vision (preferred • )Time Series Forecastin • gExperience with feature engineering and model optimization • .Knowledge of MLOps concepts and model lifecycle management • .Experience with Git and CI/CD pipelines • .Familiarity with Docker and Kubernetes is preferred • .Experience working with large datasets and distributed computing frameworks .Preferred Qualification • sExperience with Generative AI (GenAI) applications • .Hands-on experience with Large Language Models (LLMs) • .Experience with Retrieval-Augmented Generation (RAG) • .Familiarity with LangChain, LangGraph, or LlamaIndex • .Experience with vector databases such as Pinecone, Vertex AI Vector Search, Weaviate, or FAISS • .Knowledge of prompt engineering and AI agents • .Experience integrating foundation models such as Gemini through Vertex AI .