Sr. Data Scientist Engineer
Automation Anywhere1 day ago
Remote, United StatesSenior
Responsibilities
- Build, evaluate, and deploy machine learning, deep learning, NLP, and LLM-based applications.
- Develop LLM-powered agents, agentic AI systems, prompt-engineering strategies, and LLM evaluation pipelines.
- Implement retrieval-augmented generation systems using vector databases and enterprise knowledge sources.
- Design and maintain scalable data pipelines and datasets, including data preprocessing and feature engineering.
- Deploy AI/ML services through APIs, microservices, and cloud infrastructure.
- Monitor model performance, system reliability, scalability, and robustness, and drive continuous improvement.
- Collaborate with Engineering, Product Management, and customer-facing teams to translate customer needs into technical solutions.
- Identify technical risks, address customer pain points, and produce modular, maintainable, and well-documented AI/ML and data engineering solutions.
Requirements
- Master’s degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
- At least 3 years of experience in relevant fields.
- Strong programming skills in Python, Java, SQL, and data processing.
- Experience 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.
Benefits
- Flexible work schedule and remote work; Pacific and Mountain Time Zones are preferred.
- Unlimited personal time off.
- 12 holidays off per year.
- 4 days of volunteer time off per year.
- Health care and well-being benefits.
- Paid family and parental leave.
Categories
About Automation Anywhere
Automation Anywhere builds an AI-powered automation platform that combines RPA, process discovery, orchestration, document automation, and analytics for enterprise operations. It sells cloud and on‑premise subscriptions and services to automate complex, cross‑functional workflows with enterprise governance and security. Founded in 2003 and headquartered in San Jose, California, the company is privately held and serves global enterprise customers.