Data Scientist – Generative AI
Core
Design and deploy AI-driven systems for enterprise-grade platforms using advanced machine learning and large language models.
Role type
Senior Generative AI Data Scientist
Builds
Scalable ML models, data pipelines, and AI-driven protocols for enterprise clients
Domain
Generative AI, Large Language Models, Big Data, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Generative AI, LLMs (RAG, NLP), Big Data platforms (Hadoop, Spark, Hive), ML frameworks (TensorFlow, scikit-learn), AWS SageMaker, Relational/NoSQL databases
Preferred skills
MLOps, Recommender systems, Distributed systems, Containerization (Docker, Kubernetes)
Technologies
Python, SQL, Hadoop, Spark, Hive, TensorFlow, scikit-learn, pandas, Jupyter, AWS, SageMaker, Docker, Kubernetes
Responsibilities
Design scalable ML models for Generative AI; Architect and optimize data pipelines; Develop production-ready code; Drive experimentation with advanced ML techniques; Integrate AI/ML solutions with databases; Leverage cloud platforms for model training and scaling
Seniority
Senior, hands-on IC
