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πŸ“ Europe

🧭 Full-Time

πŸ” AI photo editing

🏒 Company: Photoroom

  • 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch
  • Deep experience with diffusion models, for image creation or edition
  • Experience working on products requiring complex architectures
  • Work on several ML solutions, starting from the requirements, literature, all the way to a product
  • Own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups
  • Master the whole pipeline, from training models to putting them into production and monitoring their performance
  • Work on new features, new applications, and some 0β†’1 solutions

Image ProcessingMachine LearningPyTorchAlgorithmsData StructuresTensorflow

Posted 20 minutes ago
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πŸ“ Egypt, Turkey

🧭 Contract

🏒 Company: ManaraπŸ‘₯ 51-100πŸ’° $3,000,000 Pre-seed almost 3 years agoCorporate TrainingCommunitiesEmploymentConsulting

  • Proven expertise in Software Engineering, with a strong understanding of industry best practices and emerging trends
  • Experience in curriculum development, educational content creation, or instructional design
  • Excellent written communication skills, with the ability to explain complex concepts clearly and concisely
  • Develop detailed and structured outlines for software engineering topics
  • Ensure content is engaging, informative, and accessible to a diverse audience
  • Collaborate with our team to align content with our educational goals and standards
  • Incorporate feedback to continuously improve the quality and relevance of the outlines

Software DevelopmentArtificial IntelligenceCloud ComputingMachine LearningContent creationCommunication SkillsWritten communicationSoftware Engineering

Posted about 1 hour ago
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🧭 Full-Time

πŸ’Έ 185000.0 - 315000.0 USD per year

πŸ” Financial Operations

🏒 Company: RampπŸ‘₯ 501-1000πŸ’° $150,000,000 Series D 11 months agoFinancial ServicesFinanceFinTech

  • Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
  • Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
  • Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
  • Strong knowledge of SQL (preferably Snowflake, BigQuery)
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
  • Prototype and productionalize machine learning models and rules-based systems to protect user accounts
  • Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
  • Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend DevelopmentPythonSQLMachine LearningNumpyPyTorchSnowflakeData engineeringPandasData modelingSoftware Engineering

Posted about 3 hours ago
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πŸ“ UK, Ireland

πŸ” Software Development

🏒 Company: DevRevπŸ‘₯ 251-500πŸ’° $100,825,173 Series A 7 months agoDeveloper PlatformCustomer ServiceCRMArtificial Intelligence (AI)Developer APIsSoftware

  • 8 years of professional experience in software product marketing.
  • Three years managerial experience.
  • Outstanding leadership and project management abilities.
  • Strong problem-solving skills.
  • Experience working in fast-paced, agile environments.
  • Demonstrated comfort with ambiguity.
  • Outstanding written, verbal, and visual communication skills.
  • Demonstrated ability working cross-functionally with engineering, product, sales, and design teams.
  • Demonstrated knowledge of AI, large language models, machine learning, and related technical areas.
  • Lead the development and execution of product marketing strategies that drive demand and adoption of DevRev's AI-powered solutions.
  • Mentor and guide a team of four product marketers, fostering a collaborative and high-performing environment.
  • Work closely with product, engineering, design, and sales leadership to align marketing efforts with product development and sales goals.
  • Define and refine DevRev's product messaging, ensuring clear and compelling communication of value propositions to target audiences.
  • Develop high-quality marketing materials, including website content, social content, blog posts, white papers, case studies, and presentations.
  • Conduct ongoing market research and competitive analysis to identify opportunities and inform marketing strategies.
  • Develop and execute go-to-market plans for new product launches and feature releases.
  • Track and analyze key marketing metrics to measure the effectiveness of campaigns and identify areas for improvement.

LeadershipProject ManagementAgileMachine LearningProduct ManagementCross-functional Team LeadershipCommunication SkillsMarket ResearchTeam managementCRMSaaS

Posted about 6 hours ago
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πŸ“ United States

πŸ’Έ 89000.0 - 140000.0 USD per year

πŸ” Business Intelligence/Analytics

🏒 Company: BusinessolverπŸ‘₯ 501-1000πŸ’° Private about 7 years agoAccountingFinancial ServicesInformation Technology

  • Minimum of 5 years of BI development or product management experience, preferably with a background of building analytic products intended for external/client stakeholders vs. internal stakeholders.
  • Expertise in BI tools, data warehousing, data modeling, and analytics platforms.
  • Proficiency in using statistical tools and techniques to analyze data and generate insights.
  • Experience democratizing data to emphasize the accessibility and comprehensibility of data across the organization.
  • Extensive experience with BI visualization tools such as Tableau, Microsoft Power BI or similar platforms for creating dashboards and reports.
  • Understanding of data warehousing concepts, including data storage, data mining, and the ability to work with large data sets.
  • Ability to write SQL (or Python) queries for data extraction, manipulation, and analysis. Knowledge of relational and non-relational databases.
  • Understanding of Extract, Transform, Load (ETL) processes for integrating, cleaning, and consolidating data from various sources.
  • Skills in data modeling and the ability to understand and design data schemas for analytics and reporting purposes.
  • Basic understanding of machine learning algorithms and their application in predictive analytics can be beneficial.
  • Knowledge of how to integrate with various APIs (Application Programming Interfaces) to pull in data from different services.
  • Experience with cloud services like AWS, Google Cloud, or Azure, particularly their data and analytics offerings.
  • Proven ability to develop product strategies and effectively communicate recommendations to executive management.
  • Experience with agile development methodologies and experience with product management tools and services.
  • Develop and maintain a product roadmap for BI and analytics offerings, ensuring alignment with overall business strategy, delivering high-quality, scalable solutions.
  • Collaborate with cross-functional teams to understand business needs and translate to technical requirements and BI solutions.
  • Work with engineering, design, and data science teams to develop data models, dashboards, and reports to provide actionable insights to stakeholders.
  • Work with internal stakeholders (sales/marketing, client teams, call center) to drive product adoption, retention, and growth.
  • Stay up to date with competitor insights and industry trends and emerging technologies in business intelligence to identify opportunities for innovation and differentiation.
  • Establish metrics and KPIs to measure product performance and inform future development decisions.
  • Facilitate product training and provide ongoing support to ensure customer and team understanding and product success.

AWSSQLAgileBusiness IntelligenceCloud ComputingData AnalysisETLMachine LearningMicrosoft Power BIProduct ManagementCross-functional Team LeadershipTableauProduct DevelopmentProduct AnalyticsREST APICommunication SkillsAnalytical SkillsCollaborationData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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πŸ”₯ AI Engineer
Posted about 7 hours ago

πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 145000.0 - 198000.0 USD per year

πŸ” Software Development

🏒 Company: Vizcom

  • Experience working with 2D and 3D diffusion techniques.
  • Understanding of 3D data and AI to make it more accessible and practical.
  • Familiar with LLMs and can apply them to solve real problems for users.
  • Make systems that are efficient, scalable, and robust.
  • Build tools with the people using them in mind, ensuring that AI enhances their work rather than complicating it.
  • Advance systems for generating, refining, and enhancing content in 2D and 3D.
  • Use diffusion models to generate shapes and materials, ensuring outputs are consistent and useful for real-world design.
  • Build LLM-powered tools that help designers by automating repetitive tasks and providing thoughtful feedback.
  • Adapt AI systems to be fast, reliable, and easy to use in real-time workflows.
  • Ensure that 2D and 3D tools work together seamlessly, helping designers move easily between different types of projects.

Backend DevelopmentPython3D Modeling - RhinoArtificial IntelligenceImage ProcessingKubernetesMachine LearningPyTorchAlgorithmsData StructuresTensorflowCommunication SkillsAnalytical SkillsProblem SolvingRESTful APIsJSONSoftware EngineeringData analyticsDebugging

Posted about 7 hours ago
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πŸ”₯ Sr. Data Scientist
Posted about 8 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: MeasuredπŸ‘₯ 101-250πŸ’° $21,000,000 almost 3 years agoSaaSAnalytics

  • 5+ years of experience in data science, with a focus on marketing analytics, econometrics, or causal inference with 2+ years of direct experience in building MMMs or marketing attribution.
  • B.S. or higher in Mathematics, Computer Science, Statistics, Data Science, or a related quantitative field.
  • Strong expertise in Marketing Mix Modeling (MMM), marketing attribution, or media measurement.
  • Proficiency in Python, SQL, and statistical modeling techniques such as Bayesian inference, time-series forecasting, and causal inference.
  • Experience working with large-scale data, experimentation, and probabilistic modeling.
  • Strong problem-solving skills, with an ability to work independently in a fast-moving environment.
  • Excellent communication skills, with the ability to translate mathematical concepts into business insights for technical and non-technical audiences.
  • Ability to integrate and debug complex code, ensuring models operate reliably at scale.
  • Ability to communicate complex mathematical concepts to any audience.
  • Ability to integrate and debug complex code.
  • Independent decision maker. Can take calculated risks and deal with ambiguity.
  • Takes initiative to improve and try new things.
  • Ability to work independently with minimal supervision within a strong team environment.
  • Comfortable with rapid change.
  • Values diversity and integrity.
  • Develop and refine advanced MMM models, incorporating media variables, pricing indices, promotional schedules, holidays, macroeconomic factors, and causal inference signals.
  • Implement Bayesian inference, hierarchical models, and experimental design techniques to enhance MMM accuracy and insights.
  • Automate and optimize model training, deployment, and monitoring to support large-scale, high-frequency modeling across clients.
  • Collaborate with Product and Engineering teams to integrate advanced data science solutions into the Measured platform.
  • Interpret complex data science outputs and translate them into actionable recommendations for marketers.
  • Conduct R&D on emerging measurement methodologies and apply cutting-edge statistical and machine learning techniques.
  • Support internal teams by providing expertise on MMM results, ensuring high confidence in model outputs and business recommendations.

AWSPythonSQLData AnalysisMachine LearningData scienceCommunication SkillsProblem SolvingCross-functional collaborationData visualizationData modeling

Posted about 8 hours ago
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πŸ”₯ Data Scientist
Posted about 8 hours ago

πŸ“ United States

πŸ” Fintech

🏒 Company: Credit KeyπŸ‘₯ 51-100πŸ’° $15,000,000 Debt Financing over 2 years agoE-CommerceFinancial ServicesPayments

  • Bachelor’s Degree in STEM field. Master’s Degree preferred
  • Minimum of 2 years of experience in a Data Scientist role at a lending organization (Fintech, bank, credit union, etc.)
  • Prior experience with large complex time series datasets at a financial institution
  • Prior first line of defense credit or fraud risk management experience at a Fintech, BNPL, and/or Small Business Lending experience a plus
  • Experience utilizing consumer and commercial credit bureau score and tradeline data to enhance credit strategies
  • Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent
  • Experience in financial modeling to determine business cost benefit results from A/B testing
  • Strong communication skills to influence key stakeholders including executive management, partner bank, and debt facility teams
  • A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity
  • Propose, implement, and analyze testing to further enhance key features of our credit risk framework including approvals, line assignment, pricing, and term lengths
  • Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management
  • Partner directly with industry leading small business lending data providers to optimize use of existing data and explore and assess new data providers to improve our credit and fraud strategy performance
  • Create, execute, and analyze A/B testing experiments to improve credit performance
  • Develop, validate, and implement proprietary credit models using our unique data to drive our acquisition and account management risk strategies
  • Develop and execute credit and fraud risk tracking and credit bureau reporting
  • Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations

PythonSQLBusiness IntelligenceData AnalysisMachine LearningSAS EGTableauData scienceData visualizationData modelingA/B testing

Posted about 8 hours ago
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πŸ“ United States

πŸ’Έ 123000.0 - 235900.0 USD per year

πŸ” Data/AI

  • 7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
  • Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
  • Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
  • Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
  • Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
  • [Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
  • [Preferred] Databricks certification or experience with Apache Sparkβ„’, MLflow, Delta Lake, and other open-source technologies.
  • Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
  • Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
  • Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
  • Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
  • Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
  • Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
  • Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWSPythonSQLArtificial IntelligenceCloud ComputingETLMachine LearningMLFlowCross-functional Team LeadershipAPI testingData engineeringData scienceREST APICommunication SkillsData visualizationStakeholder managementData analytics

Posted about 9 hours ago
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πŸ“ US

πŸ’Έ 120100.0 - 150100.0 USD per year

πŸ” Software Development

🏒 Company: NateraπŸ‘₯ 1001-5000πŸ’° $250,000,000 Post-IPO Equity over 1 year agoπŸ«‚ Last layoff almost 2 years agoWomen'sBiotechnologyMedicalGeneticsHealth Diagnostics

  • Direct, hand-on experience with developing and launching Generative AI products or features. Ability to demonstrate AI solutions launched and tangible outcomes achieved.
  • Proven track record of driving organizational transformation, and utilizing AI and other innovative solutions to improve customer experience and streamline operational processes.
  • Ability to dive deep into complex problems and come up with creative, scalable solutions.
  • Flexible, and agile; willingness to tackle any type of challenge; highly motivated to roll up sleeves and get work done while also thinking strategically.
  • Excellent communication and relationship-building skills. Strong analytical and problem-solving skills, with the ability to use data to drive product decisions. Proficiency in SQL preferred.
  • Bachelor's degree in computer science, engineering, business or related field. 5+ years of experience in software development, or digital product management.
  • Identify opportunities with internal stakeholders to scope how the use of Generative AI can deliver business value
  • Evaluate AI-driven solutions and approaches, considering both buy vs. build solutions to balance outcome and speed-to-market
  • Provide requirements (PRDs, user stories, user flows), evaluate dependencies, and buildΒ  solutions together with the engineering team
  • Define and track KPIs to uncover future product opportunities and AI solutions; analyze relevant data to drive decision-making
  • Collaborate with SMEs across Natera to plan for operational changes driven by new platform and features to deliver seamless user experiences

SQLArtificial IntelligenceData AnalysisMachine LearningProduct ManagementUser Experience DesignCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesData visualizationStrategic thinking

Posted about 12 hours ago
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