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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. Do you believe in the missions of intelligence agencies? Are you interested in building state-of-the-art NLP models and solving complex technical challenges? Do you want to be a part of our journey in shaping the future of Automated Customer Service? If you are interested in working on some of the most challenging technical and programmatic issues, we would love to discuss with you the exciting work and career opportunities at Netomi. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements. Job Responsibilities: Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements. Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc. Develop and improve existing models to increase accuracy, efficiency, and effectiveness. Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them. Communicate findings and insights to stakeholders in a clear and concise manner. Stay up-to-date with the latest developments in machine learning, NLP/LLMs, deep learning, and related technologies. Requirements: Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field. 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. Strong programming skills in Python or other relevant programming languages. Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques. Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable. Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies. Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation. Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development. Strong problem-solving and analytical skills Excellent communication and collaboration abilities. Optional: Experience with big data platforms such as Hadoop or Spark. 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
Develop machine learning algorithms for NLP/LLMs and deep learning models.
Analyze large datasets to make predictions and generate responses.
Posted 12 days ago
. Lead and manage the AI Team effectively
. Drive innovation in AI technologies
Posted 12 days ago
Hire a remote senior data scientist
Promote a flexible, location-independent role
Posted 12 days ago
Provide technical leadership in data science
Develop and implement advanced analytics models
Posted 12 days ago
Hire a remote Senior Data Scientist
Enhance product with data-driven insights
Posted 12 days ago
Drive cross-functional data initiatives
Collaborate with various teams to uncover insights
Posted 12 days ago
Drive data-driven strategies for product development.
Enhance business and customer impact through data analysis.
Posted 12 days ago
Lead data strategy and architecture for Blackbaud
Design breakthrough products in Data Intelligence
Posted 12 days ago
Design and oversee enterprise-wide data architecture
Develop strategies for data platforms and analytics
Posted 12 days ago
Designing ML architectures for external customers
Delivering AI/ML solutions in collaboration with sales leads
Posted 12 days ago
Architect and deploy scalable AI/ML solutions for enterprise clients
Consult and advise on open source platforms and ML technologies
Posted 12 days ago
Lead design and development of data architecture
Implement scalable and reliable data pipelines
Posted 12 days ago
Design and develop trading insight products, Utilize big data and AI for actionable market
ties, Collaborate with cross-functional teams, Analyze product performance and user feedback,
Posted 12 days ago
Develop novel AI solutions for complex problems
Research and experiment with emerging technologies
Posted 12 days ago
Build the next generation of DVC for managing unstructured data
Participate in product lifecycle from concept to production
Posted 12 days ago
Develop DVCx as a core infrastructure component for managing large unstructured datasets.
Enhance datasets and add signals at scale for improved data management.
Posted 12 days ago
Develop data infrastructure and systems for various business functions
Implement data observability and monitoring
Posted 12 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 12 days ago
Architect scalable data pipelines and infrastructure.
Enable real-time, reliable, and high-quality data access.
Posted 12 days ago
Design scalable data infrastructure
Build and maintain high-quality data pipelines
Posted 12 days ago
Recruit and mentor software development talent, Work closely with product and UX teams, Provide
nical guidance to developers, Champion Agile processes, Support team output with code
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. •
Posted 12 days ago
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 high-quality prompts for AI models
Implement machine learning algorithms for NLP
Posted 12 days ago
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
Posted 12 days ago
Design and implement scalable data platforms
Lead and deliver cloud and big data projects
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Provide Hadoop Administration and optimization for big data clusters
Install, configure, and monitor distributed systems and middleware application performance
Posted 12 days ago
Represent customers' voice, Understand strategic priorities, Drive exceptional customer experience,
Lead agile ceremonies, Conduct competitive
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Lead data science initiatives
Collaborate with teams for data insights
Posted 12 days ago
Design and maintain scalable data pipelines
Ensure data quality, reliability, and performance
Posted 12 days ago
Develop and implement BI solutions for data-driven decision-making
Collaborate with stakeholders to align BI solutions with business goals
Posted 12 days ago
. Develop machine learning models for vendor risk management platform. •
. Collaborate with team to improve data analysis techniques. •
Posted 12 days ago
Develop machine learning algorithms to enhance user experience.
Implement models for streamlining music production processes.
Posted 12 days ago
Design and implement scalable backend systems
Enhance user experience through recommendations and content discovery
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Work on AI and Big Data solutions, Collaborate on financial technology projects, Develop scalable Node
js products for crypto platforms, Innovate in cybersecurity solutions, Enhance iOS apps for ecommerce solutions
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- Develop statistical models and machine learning algorithms - Extract insights from complex
s - Optimize ecommerce operations - Drive data-driven business initiatives - Enhance user
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- Analyze and interpret complex data sets - Build predictive models - Perform statistical
Collaborate with teams to derive insights - Present findings to
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. Provide remote work opportunities for data professionals
. Match skilled individuals with companies seeking remote talent
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- 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
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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 12 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