Sr. Data Scientist Engineer

Automation Anywhere is a leader in Agentic Process Automation, transforming work through AI-powered automation. The Senior Data Scientist Engineer designs, develops, and deploys scalable AI and data-driven solutions, including intelligent agents, LLM workflows, RAG pipelines, and machine learning services. The role also builds data pipelines, evaluates model performance, collaborates cross-functionally, and improves the reliability and scalability of AI systems.

Responsibilities:

• Build, evaluate, and deploy machine learning, deep learning, NLP, and LLM-based applications
• Develop LLM-powered agents and agentic AI systems
• Design prompt engineering strategies and LLM evaluation pipelines
• Implement retrieval-augmented generation (RAG) systems using vector databases and knowledge sources
• Design and maintain scalable, reliable data pipelines and datasets
• Perform data preprocessing, feature engineering, and model experimentation
• Deploy AI/ML services via APIs, microservices, and cloud infrastructure
• Monitor model performance and continuously improve system reliability and scalability
• Collaborate cross-functionally to translate customer needs into technical solutions
• Identify risks, manage customer pain points, and drive continuous improvement initiatives

Requirements:

• Master's degree in Artificial Intelligence, Computer Science, Data Science, or related field
• Minimum 3-years experience in relevant fields
• Strong programming skills in Python, Java, SQL and data processing
• Experience working with structured and unstructured data
• Knowledge of machine learning, deep learning, NLP, and LLM systems
• Deep knowledge of MCP and A2A protocols
• Experience with model training, evaluation, and experimentation
• Familiarity with prompt engineering, agent-based architectures, and retrieval systems
• Experience with APIs, distributed systems, and cloud platforms
• Ability to apply data science and AI techniques to real-world business problems