Data Scientist

Responsibilities

Role 1: Gen AI

• 4+ years of work experience as a Data Scientist
• Design and implement GenAI solutions using LLMs, RAG frameworks, and agent-based architectures
• Apply chunking strategies, token management, and prompt engineering to optimize model performance
• Work with open-source GenAI tools such as Lang Chain, Llama Index, and vector databases
• Build and manage knowledge graphs and integrate Vision APIs for multimodal AI applications
• Deploy AI models on cloud platforms (Azure, AWS, GCP) ensuring scalability and reliability
• Collaborate with cross-functional teams to translate business needs into AI-driven solutions
• Proficiency in Python, SQL, and statistical/ML tools (e.g., R, Hadoop/Hive, Scala)
• Strong understanding of ML algorithms, statistical modeling, and deep learning

Role 2: AI/ML

• 4+ years of work experience as a Data Scientist
• Design and implement ML models for forecasting, classification, and clustering
• Apply deep learning techniques and fine-tune models for performance optimization
• Perform feature engineering and statistical analysis using Python (Pandas, NumPy)
• Operationalize models using ML Ops practices and deploy on cloud platforms (Azure/AWS/GCP)
• Strong proficiency in Python, SQL, Docker, and version control tools
• Expertise in statistics, Pandas, NumPy, and ML algorithms
• Experience with deep learning, feature engineering, and model fine-tuning
• Familiarity with ML Ops and AI services on Azure, AWS, or GCP