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πŸ“ United States

🧭 Full-Time

πŸ” Healthcare

🏒 Company: MachinifyπŸ‘₯ 51-100πŸ’° $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business IntelligencePredictive AnalyticsSaaSMachine LearningAnalytics

  • 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
  • Strong knowledge of data privacy regulations and best practices in data security
  • Exceptional team management abilities, with experience in building and leading high-performing teams
  • Ability to think strategically and execute methodically
  • Ability to drive change and inspire a distributed team
  • Strong problem-solving skills and a data-driven mindset
  • Ability to communicate effectively, collaborating with diverse groups to solve complex problems
  • Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work
  • Collaborate with the leadership team to define key technical and business metrics and objectives
  • Translate objectives into internal team priorities and assignments
  • Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics
  • Hire, mentor and develop team members
  • Foster a culture of innovation, collaboration, and continuous improvement
  • Communicate technical concepts and strategies to technical and non-technical stakeholders effectively
  • Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.

AWSLeadershipPythonSQLApache AirflowCloud ComputingData AnalysisETLKerasMachine LearningMLFlowNumpyPeople ManagementCross-functional Team LeadershipAlgorithmsData engineeringData scienceData StructuresPandasSparkTensorflowCommunication SkillsProblem SolvingAgile methodologiesRESTful APIsMentoringData visualizationTeam managementStrategic thinkingData modeling

Posted 15 minutes ago
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πŸ“ United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

πŸ” Software Development

🏒 Company: LokaliseπŸ‘₯ 101-250πŸ’° $50,000,000 Series B over 3 years agoInformation ServicesDeveloper APIsSaaSInformation TechnologyCollaborationTranslation ServiceSoftwareCloud Infrastructure

  • 4+ years of experience building and operating backend systems in production
  • Strong proficiency with Python, FastAPI, and Pydantic
  • Solid understanding of microservice architecture, scalable distributed systems, and observability, with familiarity using tools like OpenTelemetry, Grafana, or Datadog to monitor both general system health and LLM-specific metrics like latency, token usage, and model performance
  • Hands-on experience with prompt engineering in production
  • Familiarity with CI/CD, containerisation, and cloud deployment
  • Strong sense of ownership
  • Build and own LLM-powered back end services using FastAPI, Pydantic, etc. β€” ensuring they are scalable, observable, and easy to extend
  • Design infrastructure that enables rapid experimentation with LLMs, including A/B testing, feature flagging, and usage analytics
  • Integrate and maintain LLM observability tooling (e.g., LiteLLM, Langfuse) to monitor quality, cost, and performance of model calls
  • Collaborate with Data and ML Scientists to productionize workflows, share feedback, and continuously improve experimentation speed
  • Ensure systems are reliable and deployable with strong CI/CD practices, including instrumentation and alerting
  • Contribute to team culture through pairing, mentoring, and sharing learnings to help others grow
  • Stay connected to the product by understanding our users' needs, localization workflows, and broader industry trends

AWSBackend DevelopmentDockerPythonSQLCloud ComputingMachine LearningAPI testingFastAPIGrafanaREST APICI/CDMicroservices

Posted about 15 hours ago
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πŸ“ United States of America

🧭 Full-Time

πŸ’Έ 190000.0 - 192000.0 USD per year

πŸ” Software Development

🏒 Company: External_Career_Site_Barclays

Experience with Java, Spring Boot, Vert.X, Kubernetes/Docker, React, and Python.
  • Design and develop exotics analytics price and strategic trade booking platform for Structured Notes, and contribute to the overall system design, architecture and development on risk platform, booking tools for exotic products and price streaming platforms.
  • Enhance systems to facilitate Regulatory requirements (FRTB IM/SSA, CCAR, Libor cessation).
  • Manage stakeholders by working directly with front office trading, operations and other business users to collect requirements and provide regular status updates and support.
  • Reduce technical debt by introducing and adopting best practices in software development and collaborating with the team to ensure consistent adoption of best practices and migrating off legacy technical stacks.
  • Compute cost optimizations by working on cost reduction initiatives to reduce grid compute costs by moving to efficient valuation models and distributing across HPC/AWS clusters.
  • Lead the migration of stochastic valuation models, moving away from Black Scholes to better capture volatility risk exposure.
  • Develop strategic UI interfaces using HTML5/React for trade booking/risk management platform.
  • Integrate with OpenFin platform, defining data taxonomies for Macro/Rates business and seamlessly interact with other applications (RFQ activity, internal margins, Credit exposures, Axes etc.) in the space.
  • Enhance the server-side stack, moving to microservices stack using Vert.X, SpringBoot. service discovery via Zookeeper, asynchronous messaging on Confluent Kafka and deployments using Kubernetes/Docker containers.
  • Work with Front Office traders to provide risk/trade/static/market data via APIs to support their development on Python Notebooks.

AWSBackend DevelopmentDockerPythonSoftware DevelopmentSQLApache TomcatBashData AnalysisExpress.jsFrontend DevelopmentHTMLCSSJavaJavascriptJUNITKubernetesMachine LearningOracleOracle RDBMSReact.jsSoftware ArchitectureSpringSpring BootSpring MVCUI DesignAlgorithmsAPI testingData StructuresReactCI/CDAgile methodologiesRESTful APIsMicroservicesJSONRisk ManagementDebugging

Posted about 15 hours ago
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πŸ“ Canada

🧭 Full-Time

πŸ’Έ 172800.0 - 216000.0 CAD per year

πŸ” Software Development

🏒 Company: TwilioπŸ‘₯ 5001-10000πŸ’° $378,215,525 Post-IPO Equity almost 4 years agoπŸ«‚ Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 5+ years of applied ML engineering experience
  • Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions
  • Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

AWSPythonSQLKerasMachine LearningMySQLNumpyAirflowData sciencePandas

Posted about 17 hours ago
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πŸ“ United States

πŸ’Έ 175000.0 - 200000.0 USD per year

πŸ” Manufacturing

  • 10+ years of experience in data, analytics, and solution architecture roles.
  • Proven success in a pre-sales or client-facing architecture role.
  • Deep understanding of Microsoft Azure data services, including: Azure Synapse, Data Factory, Data Lake, Databricks/Spark, Fabric, etc.
  • Experience aligning modern data architectures to business strategies in the manufacturing or industrial sector.
  • Experience scoping, pricing, and estimating delivery efforts in early-stage client engagements.
  • Clear and confident communicator who can build trust with technical and business stakeholders alike.
  • Lead strategic discovery sessions with executives and business stakeholders to understand business goals, challenges, and technical landscapes.
  • Define solution architectures and delivery roadmaps that align with client objectives and Microsoft best practices.
  • Scope, estimate, and present proposals for complex Data, AI, and Azure-based projects.
  • Architect end-to-end data and analytics solutions using Microsoft Azure (Data Lake, Synapse, ADF, Power BI, Microsoft Fabric, Azure AI Services, etc.).
  • Oversee solution quality from ideation through handoff to delivery teams.
  • Support and guide sales consultants in an effort to align solutions, progress deals and effectively close business.
  • Collaborate with Delivery to ensure project success and customer satisfaction.
  • Contribute to thought leadership, IP development, and reusable solution frameworks.

SQLCloud ComputingETLMachine LearningMicrosoft AzureMicrosoft Power BIAzureData engineeringRESTful APIsData modelingData analyticsData management

Posted about 17 hours ago
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πŸ”₯ Product Manager
Posted about 17 hours ago

πŸ“ United States, Africa, Latin America, Asia

🧭 Full-Time

πŸ” AI

🏒 Company: Pareto.AIπŸ‘₯ 101-250πŸ’° $4,500,000 Seed about 3 years agoSoftware

  • 3+ years shipping data infrastructure or ML-adjacent SaaS products with measurable adoption.
  • Proven record of rapid, iterative releasesβ€”multiple significant deployments per quarter.
  • Competence with SQL and basic Python; can self-serve analysis without data-engineering support.
  • Familiarity with data-collection pipelines, LLM training stages and workflows, and privacy frameworks (GDPR, CCPA).
  • Comfortable translating technical detail into clear product choices.
  • Exceptional written communication; produce single-page briefs that unblock design and engineering the same day.
  • Own the end-to-end life cycle for assigned platform modulesβ€”requirements, prioritization, release, and iteration.
  • Define and monitor metrics for data latency, cost per datapoint, and quality compliance; drive course-corrections in real time.
  • Conduct regular customer and stakeholder interviews; translate insights into backlog refinements and roadmap updates.
  • Facilitate sprint rituals and decision reviews, ensuring blockers are identified and resolved within service-level targets.
  • Present concise status and recommendations to leadership, backing arguments with data.

PythonSQLData AnalysisMachine LearningProduct ManagementData engineeringRESTful APIs

Posted about 17 hours ago
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πŸ“ United States of America

🧭 Full-Time

πŸ’Έ 145000.0 - 175000.0 USD per year

πŸ” Healthcare

🏒 Company: clarivate_careers

  • PhD (or MS with equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
  • A minimum of seven years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • 2 years experience minimum with clinical trial data standardization according to CDISC (SDTM, ADaM)
  • 2 years experience minimum with data management, processing, and integration of experimental assay data from various sources (e.g., flow cytometry, cytokine profiling).
  • Proficiency in data visualizations (ggplot2) and report generation (R Markdown)
  • Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.
  • Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
  • Assist in designing and executing research methodologies to address business challenges and provide recommendations.
  • Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
  • Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
  • Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
  • Support proposal development by contributing to specific elements of the proposal.
  • Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

GitMachine LearningData visualizationData management

Posted about 18 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 145000.0 - 175000.0 USD per year

πŸ” Pharmaceutical

🏒 Company: jobs

  • PhD (or MS with equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
  • A minimum of seven years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • 2 years experience minimum with clinical trial data standardization according to CDISC (SDTM, ADaM)
  • 2 years experience minimum with data management, processing, and integration of experimental assay data from various sources (e.g., flow cytometry, cytokine profiling).
  • Proficiency in data visualizations (ggplot2) and report generation (R Markdown)
  • Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.
  • Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
  • Assist in designing and executing research methodologies to address business challenges and provide recommendations.
  • Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
  • Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
  • Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
  • Support proposal development by contributing to specific elements of the proposal.
  • Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

PythonSQLData AnalysisGitMachine LearningData visualizationData management

Posted about 18 hours ago
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πŸ”₯ Senior Writer, AI
Posted about 19 hours ago

πŸ“ United States

πŸ’Έ 120000.0 - 150000.0 USD per year

πŸ” Journalism

  • Bachelor’s degree with 5+ years of journalism experience
  • Strong writer who communicates effectively and clearly with a strong point of view that stands out
  • Well sourced in the AI community with a proven track record for turning tips into stories
  • Versed in the technical side of AI, as well as the finance of startup fundraising, and able to hold their own with researchers and investors alike
  • Team player and happy collaborator who is willing to crash out a quick hit, dive into an investigation and go in-depth for a print profile, as need requires
  • Overflowing with story ideas drawn from sourcing, sharp observation and on-the-ground reporting
  • Comfortable working remotely
  • Pitch, report and write must-read stories about artificial intelligence companies and entrepreneurs
  • Regularly break news, including exclusives, funding scoops and investigations
  • Conceive and report features for the website and magazine, including pitching profiles and cover stories
  • Participate in the reporting of AI 50 and contribute to other Forbes lists
  • Represent Forbes at live events and conferences
  • Participate in Forbes videos related to reporting

Artificial IntelligenceData AnalysisMachine LearningData scienceResearchWritingFinance

Posted about 19 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 215900.0 - 254000.0 USD per year

πŸ” Healthcare

  • You have 6+ years building platforms that leverage ML for automated decision-making, preferably in healthcare, insurance, or adjacent risk domains.
  • You understand the complexities of health insurance - from claims processing to benefits determination - and have built systems that improve billing accuracy or clean claims rates.
  • You're comfortable diving deep with engineering and data science teams on complex technical problems and can drive architectural decisions for scalable platforms.
  • You've led initiatives requiring difficult tradeoffs between accuracy, speed, and user experience, and can influence stakeholders across multiple teams.
  • You excel at analyzing complex datasets to identify root causes and drive systematic improvements to platform performance.
  • Own the benefits determination platform strategy and roadmap to achieve company goals for billing accuracy and collections loss reduction.
  • Build ML-powered systems that interpret complex insurance data and handle thousands of payer-specific edge cases.
  • Drive technical decisions on platform architecture, model deployment, and system scalability with engineering leadership.
  • Collaborate with Engineering and Data Science on developing models that improve benefits interpretation accuracy and confidence scoring.
  • Partner with Insurance Operations and Customer Care to understand manual intervention patterns and automate high-volume workflows.

SQLData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipData scienceRESTful APIsData modeling

Posted about 19 hours ago
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