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