Data Scientist

Role Summary

We are seeking a Senior Data Scientist to design, develop, deploy, and monitor AI solutions across Generative AI, computer vision/OCR, and predictive analytics use cases. The successful candidate will work closely with business stakeholders to translate operational challenges into scalable AI products and data-driven solutions.

Key Responsibilities

Generative AI & Knowledge Solutions

• Design and implement Retrieval-Augmented Generation (RAG) systems using open-source Large Language Models.

• Develop prompt engineering strategies and evaluation frameworks to improve response quality, faithfulness, and citation accuracy.

• Deploy and optimize GenAI solutions on cloud platforms such as Azure Machine Learning.

• Establish governance, monitoring, and cost-control mechanisms for AI applications.

AI-Powered OCR & Intelligent Automation

• Build OCR and document intelligence solutions for extracting structured information from images and scanned documents.

• Develop validation frameworks using confidence scoring, schema validation, and automated quality checks.

• Design and maintain production-grade APIs and microservices using FastAPI.

• Deploy and monitor AI inference services on Vertex AI or equivalent platforms.

Machine Learning & Analytics

• Perform feature engineering, model development, and model evaluation for predictive analytics use cases.

• Build scalable data processing pipelines using Databricks and PySpark.

• Implement data quality controls and model monitoring processes.

• Translate model outputs into actionable business insights and decision-support tools.

Platform & Engineering

• Develop and maintain MLOps workflows for deployment, monitoring, and lifecycle management.

• Collaborate with data engineers, business analysts, and domain experts.

• Ensure security, scalability, reliability, and compliance of AI systems.

• Document technical designs, experiments, and deployment processes.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline.

• 4+ years of experience in AI/ML engineering, data science, or related fields.

• Strong proficiency in Python and SQL.

• Experience with machine learning frameworks such as Scikit-learn.

• Experience with Generative AI technologies, RAG architectures, and prompt engineering.

• Hands-on experience with Azure ML, Vertex AI, Databricks, or similar cloud platforms.

• Experience building APIs using FastAPI or equivalent frameworks.

• Strong understanding of model evaluation, monitoring, and MLOps practices.

Preferred Qualifications

• Experience with LangChain, LlamaIndex, vector databases, and embeddings.

• Experience with OCR, document AI, or computer vision solutions.

• Experience with PySpark and large-scale data processing.

• Knowledge of CI/CD, Docker, and cloud-native deployment patterns.

• Experience working in regulated industries such as utilities, government, or financial services.

Key Technologies

Python, SQL, Azure ML, Vertex AI, Databricks, PySpark, FastAPI, Scikit-learn, Open-source LLMs, RAG, LangChain, LlamaIndex, Docker, REST APIs, MLOps.