Data Scientist

About the job

Unlock Your Potential as a Data Science Expert Job Description: We're seeking an exceptional Data Scientist with expertise in machine learning, generative AI, and cloud-based platforms to join our advanced analytics team. The ideal candidate will design, build, and deploy data-driven solutions leveraging machine learning, generative models, and cloud-based AI platforms. This role requires hands-on coding capability, strong analytical thinking, and experience operationalizing AI/ML workflows in production. Key Responsibilities: - Develop, train, and optimize machine learning, deep learning, and generative AI models (LLMs, diffusion models, transformers, etc.). - Build GenAI-driven applications such as chatbots, summarization tools, embeddings-based search, and automated decisioning systems. - Implement and fine-tune LLMs using Vertex AI tools like Vertex AI Training, Vertex AI Pipelines, Vector Search, and Model Garden. Data Engineering & Pipelines: - Build scalable data pipelines and feature stores using Python, Java, and cloud services. - Work with structured and unstructured data (text, image, audio, logs). - Ensure data quality, preprocessing, and robust data transformations for ML readiness. Deployment & MLOps: - Deploy and monitor ML/GenAI models in production using Vertex AI, Vertex Endpoints, and CI/CD pipelines. - Implement model versioning, A/B testing, and performance monitoring. Cross-functional Collaboration: - Work closely with product managers, engineers, and business stakeholders to translate requirements into technical solutions. - Communicate findings, insights, and recommendations to both technical and non-technical audiences. Technical Must-Haves: - Strong coding skills in Java and Python. - Hands-on experience with Generative AI. - Expertise with Google Cloud Vertex AI.

Requirements

• Machine Learning
• Generative AI
• Cloud Platforms
• Java
• Python

Preferred Technologies

• Machine Learning
• Generative AI
• Cloud Platforms
• Java
• Python