Data Science Manager
To see similar active jobs please follow this link: Remote Management jobs
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 seeking a Data Science Manager to lead a team of Data Scientists in developing and deploying state-of-the-art AI models. This includes LLMs (Large Language Models), Multimodal LLMs (MLLMs), and NLP/NLU-based solutions. Your role will involve driving AI innovation, fine-tuning strategies, ensuring scalability and governance, and working closely with engineering, product, and business teams to align AI/ML initiatives with Netomi’s product roadmap.
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
7+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs.
4+ years of experience managing data science teams.
Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-kit-learn).
Experience working in a startup is mandatory. We need someone who can thrive in a fast-moving, high-impact environment, driving AI initiatives from concept to production at scale.
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.
Good-to-Have (Bonus) Skills:
Experience with large-scale data processing (Hadoop, Spark) and distributed computing.
Familiarity with vector databases, RDS, and Elasticsearch for AI applications.
Knowledge of Multimodal AI, Speech Recognition, and NLG (Natural Language Generation)
Background in AI security, model governance, and bias mitigation strategies.
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.
About the job
Data Science Manager
To see similar active jobs please follow this link: Remote Management jobs
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 seeking a Data Science Manager to lead a team of Data Scientists in developing and deploying state-of-the-art AI models. This includes LLMs (Large Language Models), Multimodal LLMs (MLLMs), and NLP/NLU-based solutions. Your role will involve driving AI innovation, fine-tuning strategies, ensuring scalability and governance, and working closely with engineering, product, and business teams to align AI/ML initiatives with Netomi’s product roadmap.
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
7+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs.
4+ years of experience managing data science teams.
Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-kit-learn).
Experience working in a startup is mandatory. We need someone who can thrive in a fast-moving, high-impact environment, driving AI initiatives from concept to production at scale.
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.
Good-to-Have (Bonus) Skills:
Experience with large-scale data processing (Hadoop, Spark) and distributed computing.
Familiarity with vector databases, RDS, and Elasticsearch for AI applications.
Knowledge of Multimodal AI, Speech Recognition, and NLG (Natural Language Generation)
Background in AI security, model governance, and bias mitigation strategies.
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.