Full-Time 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, you will become a part of an elite group of visionaries who are defining the future of AI for customer experience.

We are looking for a Data Science Manager to drive advanced AI models' design, development, and deployment.

This role focuses on driving the AI & Product roadmap in 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 high-impact research & development leadership role 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

• 5+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs
• 3+ years of experience managing data science teams
• Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-kit-learn)
• Expertise in LLMs, deep learning, NLP, and chatbot development
• Strong knowledge of statistical modelling, probability, and experimental design
• Experience with LLM fine-tuning, RAG, LoRA, and transformer models (GPT, BERT, etc.)
• Ability to rapidly comprehend and implement research papers in AI/NLP
• Experience in ML Ops, model deployment, and optimization techniques
• Strong communication skills to collaborate with technical and non-technical stakeholders
• Experience working with a startup is strongly preferred

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