GCP Data Scientist

Responsibilities:

· Design and implement forecasting models to predict demand, supply, and operational outcomes. · Improve model accuracy through advanced statistical techniques and machine learning. · Collaborate with stakeholders to gather requirements and translate them into technical solutions. · Develop and deploy AI/ML solutions on GCP using BigQuery, Vertex AI, and other cloud services. · Apply GenAI and Agentic AI approaches to enhance decision‑making and automation in business processes. · Perform data preprocessing, feature engineering, and model evaluation. · Communicate insights and recommendations effectively to business and technical teams. tools; experiment and improve prototypes and existing solutions.

Mandatory skill sets:

· Strong expertise in Forecasting models (time series, regression, ARIMA, Prophet, etc.).

· Hands‑on experience with Google Cloud Platform (BigQuery, Vertex AI, ADK, Cloud Run, Agent Engine). ·

Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, scikit‑learn). ·

Experience in requirement gathering and stakeholder management.

· Knowledge of GenAI (LLMs, prompt engineering, fine‑tuning). ·

Exposure to Agentic AI concepts and applications.

Preferred skill sets:

· Familiarity with MLOps practices on GCP. ·

Strong understanding of data governance and model explainability. ·

Ability to design scalable AI solutions integrating multiple data sources. ·

Excellent communication and presentation skills.

Experience: 3-6 Years

Education qualification: BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)