Data Science Manager
At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.
Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.
Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.
Want to become a key part of the Generative AI revolution? We should talk.
We are looking for a Data Science Manager to drive the design, development, and deployment of advanced AI models. This role focuses on driving the AI & Product roadmap on the following areas:
LLM Fine-tuning (LoRA & other efficient tuning techniques).
Multimodal AI models integrating text, images, and structured data.
NLP/NLU-based models for customer support automation and personalization.
AI governance frameworks (model monitoring, bias mitigation, explainability).
Scalability & ML Ops, optimizing inference pipelines for production.
This is a high-impact research & development leadership role that will require close collaboration with engineering, product, and business teams to integrate AI innovations into Netomi’s offerings.
Key Responsibilities:
Leadership & Strategy - Lead, mentor, and scale a high-performing team of Data Scientists. Define and execute the AI/ML strategy, aligning it with business objectives and product goals. Collaborate with engineering, product, and business stakeholders to deliver AI-driven solutions.
AI/ML Research & Development - Architect and deploy conversational AI models, including LLM fine-tuning using LoRA (Low-Rank Adaptation) and other parameter-efficient tuning techniques. Multimodal AI models (MLLMs) integrating text, images, and other data sources. NLP/NLU models optimized for customer service and personalization. Optimize AI/ML pipelines for speed, scalability, and cost-efficiency. Design AI governance frameworks, including model monitoring, bias mitigation, and explainability.
Model Training & Fine-Tuning - Oversee data collection, annotation, and preparation for model training. Implement state-of-the-art fine-tuning methods to enhance LLM performance. Leverage Retrieval-Augmented Generation (RAG) and knowledge distillation to enhance AI capabilities.
Scalability & ML Ops - Work with engineering teams to deploy models using scalable ML Ops practices.Optimize data pipelines, including RDS, Elasticsearch, and vector databases for AI applications. Ensure continuous model monitoring, retraining, and performance optimization.
AI Governance & Security - Implement AI model governance, compliance, and risk mitigation strategies. Develop ethical AI frameworks for fairness, transparency, and security. Ensure PII (Personally Identifiable Information) masking and anonymization for privacy protection.
Requirements
Good-to-Have (Bonus) Skills:
Additional Information
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.