Top Priority - Data Scientist - GCP - Remote

[Rahul Pandey]

Hello,

This is Rahul from Quantum world Technologies; I am working as Senior Technical Recruiter in this company. I have a Remote Job Opportunity with one of our clients. Please share your resume if you are interested in the job details given below

Role- Data Scientist

Location- Remote

Mandatory Skills -Data Science on GCP, Vertex AI

Job Description :

Designs, builds, and deploys advanced machine learning and statistical models using the Google Cloud Platform. This role bridges data engineering and business strategy, requiring heavy use of cloud-native AI tools to extract actionable insights and drive product efficiency 

Core Responsibilities

• Model Development: Design, train, and validate predictive, prescriptive, and generative AI models for real-world business use cases.
• GCP Architecture: Architect and optimize ML workflows and data pipelines using core GCP tools like Vertex AI, BigQuery, Dataflow, and Cloud Composer.
• Data Pipelines: Define and integrate data sources, handling data cleansing, transformation, and enrichment for feeding models.
• Stakeholder Communication: Translate ambiguous business problems into mathematical models and present findings to executive or non-technical stakeholders.
• Monitoring & Maintenance: Track model KPIs, evaluate model drift, and ensure continuous validation and retraining.

Required Skills & Qualifications

• Education: Master's or PhD degree in Computer Science, Statistics, Applied Math, or a related quantitative discipline.
• Programming Languages: Advanced proficiency in Python, R, and SQL.
• GCP & Cloud Tools: Hands-on experience with Google Cloud Platform ecosystem services, specifically Vertex AI, BigQuery/BigQuery ML, Dataproc, and Cloud Storage.
• Machine Learning & Stats: Deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn), natural language processing (NLP), and statistical techniques (hypothesis testing, causal inference).
• Generative AI: Familiarity with deploying multimodal models and multi-agent frameworks. 

Common GCP Tools Used

• Vertex AI: Google’s unified platform for training, deploying, and managing ML models.
• BigQuery & BigQuery ML: Serverless enterprise data warehouses that allow users to train ML models using standard SQL queries.
• Dataflow & Cloud Composer: Managed services for stream/batch processing and workflow orchestration.

 

Thanks & Regards

Rahul Pandey

rahul....@quantumworldit.com