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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.
Posted 12 days ago
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Hire a remote senior data scientist
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Provide technical leadership in data science
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Hire a remote Senior Data Scientist
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Drive cross-functional data initiatives
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Design and oversee enterprise-wide data architecture
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Designing ML architectures for external customers
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Architect and deploy scalable AI/ML solutions for enterprise clients
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Develop novel AI solutions for complex problems
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Build the next generation of DVC for managing unstructured data
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Develop data infrastructure and systems for various business functions
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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
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Architect scalable data pipelines and infrastructure.
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Design scalable data infrastructure
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Recruit and mentor software development talent, Work closely with product and UX teams, Provide
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Posted 12 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. •
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Develop machine learning algorithms for NLP/LLMs and deep learning models.
Analyze large datasets to make predictions and generate responses.
Posted 12 days ago
Develop high-quality prompts to enhance AI model performance.
Implement machine learning algorithms for NLP and deep learning models.
Posted 12 days ago
Develop machine learning algorithms for NLP at scale
Analyzing large datasets to make predictions and identify patterns
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Lead and mentor data engineering teams
Architect and deliver scalable cloud data solutions
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Deliver enterprise data platform solutions
Administer and optimize big data environments
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Design and implement scalable data platforms
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Provide Hadoop Administration and optimization for big data clusters
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Represent customers' voice, Understand strategic priorities, Drive exceptional customer experience,
Lead agile ceremonies, Conduct competitive
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Lead data science initiatives
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Design and maintain scalable data pipelines
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Develop machine learning algorithms to enhance user experience.
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Design and implement scalable backend systems
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Work on AI and Big Data solutions, Collaborate on financial technology projects, Develop scalable Node
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Posted 12 days ago
. Provide remote work opportunities for data professionals
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Posted 12 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
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- Develop advanced AI algorithms for fleet optimization - Collaborate with teams to analyze data
nd create predictive models - Implement machine learning solutions to improve maintenance
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