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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. Netomi is seeking a dynamic and skilled Data Scientist I with a strong focus on prompt engineering, benchmarking, data analysis, and related documentation efforts. This role is pivotal in enhancing the performance and accuracy of our AI models and driving innovative solutions that align with business objectives. The ideal candidate will have a robust background in natural language processing (NLP) and machine learning, combined with a passion for developing state-of-the-art AI solutions. You will work closely with data scientists, machine learning engineers, and other stakeholders to create, optimize, and evaluate AI prompts and models, contributing to our mission of transforming customer service through advanced AI. Job Responsibilities: Prompt Engineering and Development: Design, craft, and optimize high-quality prompts to elicit desired responses from AI models. Ensure prompts are clear, coherent, and relevant to business needs, improving AI model performance and user satisfaction. Model Design and Implementation: Develop and implement machine learning algorithms for NLP/LLMs and deep learning models at scale to meet business requirements. Analyze large datasets to create models that predict, generate responses, summarize, and identify patterns. Benchmarking and Evaluation: Conduct benchmarking studies to compare prompt performance and establish best practices. Develop evaluation frameworks to assess prompt effectiveness using qualitative and quantitative metrics. Collaboration and Communication: Work closely with cross-functional teams, including data scientists and ML engineers, to identify business problems and develop AI solutions. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner. Documentation and Research: Maintain comprehensive documentation of prompt development, optimization techniques, and evaluation results. Stay up-to-date with the latest NLP and AI research, incorporating cutting-edge techniques into prompt engineering and model development. Continuous Improvement and Learning: Regularly refine and optimize prompts and models to enhance performance, reduce ambiguity, and improve user interaction. Drive continuous learning and skill development by staying informed about advancements in NLP, machine learning, and AI technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field. 2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning. Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT). Experience with developing, optimizing, and evaluating prompts to improve AI model responses. Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains. Knowledge of data visualization tools and techniques to communicate complex data insights effectively. Background in linguistics or computational linguistics. Experience with agile development methodologies and big data platforms like Hadoop or Spark. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively. Self-motivated with a passion for continuous learning and innovation in AI. 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.
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Design and scale robust data pipelines
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Design and maintain scalable data pipelines
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Hire a remote senior data scientist
Promote a flexible, location-independent role
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Develop and maintain scalable data pipelines
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Deliver actionable business insights
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Drive company-wide data initiatives
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Lead and mentor AI engineering teams
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Build the next generation of DVC for managing unstructured data
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Architect scalable data models and ETL pipelines
Design and launch self-serve analytics products
Posted 114 days ago
Develop machine learning algorithms for NLP/LLMs and deep learning models.
Analyze large datasets to make predictions and generate responses.
Posted 114 days ago
Develop high-quality prompts to enhance AI model performance.
Implement machine learning algorithms for NLP and deep learning models.
Posted 114 days ago
Develop cutting-edge solutions for workforce development and talent recognition.
Translate military skills into civilian career opportunities through digital tools and consulting services.
Posted 116 days ago
Ensure high-quality software delivery for schools and trusts
Implement and improve QA processes
Posted 116 days ago
Support schools and multi-academy trusts with school management software.
Streamline operations, improve data management, and enhance staff productivity.
Posted 117 days ago
Drive cross-functional data initiatives
Collaborate with various teams to uncover insights
Posted 119 days ago
Deliver strategic software development initiatives
Focus on application technology strategy and digital product engineering
Posted 119 days ago
Crafting cutting-edge technologies for industry revolution
Contributing to exciting and impactful projects
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Contribute to cutting-edge software projects
Drive innovation in urban living, new media, and healthcare
Posted 125 days ago
Lead data science initiatives
Collaborate with teams for data insights
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Provide Hadoop Administration and optimization for big data clusters
Install, configure, and monitor distributed systems and middleware application performance
Posted 127 days ago
Develop and optimize data pipelines for healthcare information access globally.
Improve data collection efficiency and reliability.
Posted 127 days ago
Analyze patient data for treatment impact
Collaborate with cross-functional partners
Posted 128 days ago
Recruit an Engineering Team Lead with strong technical and leadership skills.
Balance technical contributions and managerial responsibilities effectively.
Posted 128 days ago
Hiring remote IT professionals for digital transformation projects
Providing AI strategies and cloud services
Posted 129 days ago
Lead design and development of data architecture
Implement scalable and reliable data pipelines
Posted 135 days ago
Seeking a Senior Machine Learning Engineer to work on machine learning in the AdTech space
Desire for someone with experience in deploying big data-based models
Posted 137 days ago
Efficient data storage and processing
Facilitating business intelligence
Posted 138 days ago
Leverage data for operational efficiency
Tailor industry solutions for specific sectors
Posted 139 days ago
Enhancing workforce productivity through AI automation
Streamlining business operations with cutting-edge technology
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Develop DVCx as a core infrastructure component for managing large unstructured datasets.
Enhance datasets and add signals at scale for improved data management.
Posted 141 days ago
Drive data-driven strategies for product development.
Enhance business and customer impact through data analysis.
Posted 143 days ago
Lead key data engineering projects
Utilize cutting-edge technologies like Hadoop and Spark
Posted 143 days ago
Hiring remote professionals for data engineering roles
Emphasizing people as a competitive advantage
Posted 144 days ago
Develop and implement BI solutions for data-driven decision-making
Collaborate with stakeholders to align BI solutions with business goals
Posted 145 days ago
Develop machine learning algorithms for NLP at scale
Analyzing large datasets to make predictions and identify patterns
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Optimize iVisa's operations through data analysis
Enhance customer experiences using machine learning
Posted 147 days ago
Empower individuals through financial services.
Foster an inclusive workplace culture.
Posted 147 days ago
Enhancing customer conversations through real-time intelligence
Leveraging AI to boost productivity in businesses
Posted 147 days ago
Transform shopping experience
Enhance retail operations
Posted 147 days ago
Develop data infrastructure and systems for various business functions
Implement data observability and monitoring
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Develop machine learning algorithms to enhance user experience.
Implement models for streamlining music production processes.
Posted 155 days ago
- Develop advanced AI algorithms for fleet optimization - Collaborate with teams to analyze data
nd create predictive models - Implement machine learning solutions to improve maintenance
Posted 162 days ago
Top Intents: - Design and implement AI solutions for government projects - Leverage technology to
prove citizen services - Modernize government processes - Improve public service delivery - Work on
Posted 164 days ago
- Develop AI models for various applications - Enhance existing AI algorithms - Implement AI
ns in real-world scenarios - Collaborate with cross-functional teams - Stay updated on latest AI
Posted 164 days ago
. Develop machine learning algorithms to detect fake online reviews efficiently. •
. Collaborate with a team of engineers to improve the accuracy of the Fakespot tool. •
Posted 164 days ago
. Lead and manage the AI Team effectively
. Drive innovation in AI technologies
