Python Developer

Summary

The job at Netomi AI is for a Lead Data Scientist who will drive NLP and machine learning projects, collaborate with teams, work with large datasets, develop data pipelines, architect software systems, manage databases, deploy infrastructure solutions, conduct experiments, communicate findings, stay updated with the latest developments in machine learning, provide technical mentorship, and ensure system compliance with data security and privacy regulations.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems
• Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services, focusing on system design, coding, and MLOps practices
• Work with large datasets, perform data analysis, and develop data pipelines to support model development, emphasizing efficiency and scalability
• Architect and implement scalable, high-performance software systems and infrastructure, with a focus on optimizing existing systems and building new features
• Develop and manage databases and caching systems using MySQL, Redis, and Elasticsearch etc. to ensure efficient data storage and retrieval, considering MLOps requirements
• Deploy robust infrastructure solutions on AWS or GCP, ensuring high availability, fault tolerance, and scalability, with a keen understanding of hosting large models and auto-scaling challenges
• Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements, collaborating closely with Data Science teams
• Communicate findings and insights to stakeholders in a clear and concise manner, facilitating cross-functional understanding
• Stay updated with the latest developments in machine learning, NLP/LLMs, deep learning, system design, and MLOps practices
• Provide technical mentorship and guidance to junior team members, fostering a culture of continuous learning and development
• Ensure system compliance with data security and privacy regulations, integrating best practices into development processes