Senior Data Scientist, Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, assess, and implement applications based on machine learning, deep learning, NLP, and LLM technologies.

• Create agents powered by LLM and agentic AI systems.

• Formulate strategies for prompt engineering and establish evaluation pipelines for LLM.

• Execute retrieval-augmented generation (RAG) systems utilizing vector databases and knowledge resources.

• Design and oversee scalable, dependable data pipelines and datasets.

• Conduct data preprocessing, feature engineering, and model experimentation.

• Deploy AI/ML services through APIs, microservices, and cloud infrastructure.

• Track model performance and continually enhance system reliability and scalability.

• Collaborate across departments to convert customer requirements into technical solutions.

• Recognize risks, address customer challenges, and lead initiatives for continuous improvement.

⛳️ Requirements

• Master’s degree in Artificial Intelligence, Computer Science, Data Science, or a related area.

• At least 3 years of experience in relevant domains.

• Proficient programming skills in Python, Java, SQL, and data processing.

• Experience with both structured and unstructured data.

• Comprehensive knowledge of machine learning, deep learning, NLP, and LLM systems.

• In-depth understanding of MCP and A2A protocols.

• Proven experience in model training, evaluation, and experimentation.

• Familiarity with prompt engineering, agent-based architectures, and retrieval systems.

• Experience with APIs, distributed systems, and cloud platforms.

• Capability to apply data science and AI methodologies to practical business challenges.

• Candidates must generally be authorized to work in the United States without the need for current or future sponsorship.

🏝️ Benefits

• Flexible work schedule and remote positions available.

• Unlimited Personal Time Off.

• 12 holidays off annually.

• 4 days of volunteer time off each year.

• A range of health care and wellness benefits.

• Paid family and parental leave.