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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)
Posted about 5 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production;
  • Solid understanding of systems, software and data engineering best practices;
  • Proficiency with cloud-based services;
  • Proficiency in Python or another major programming language;
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning);
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
  • Experience leading teams and managing careers.
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingKubernetesMachine LearningSoftware ArchitectureAlgorithmsData engineeringData scienceData StructuresREST APICommunication SkillsCI/CDAgile methodologiesRESTful APIsExcellent communication skillsProblem-solving skillsTeam managementTechnical supportData modeling

Posted about 5 hours ago
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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)
Posted about 5 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production
  • Proficiency with cloud-based services
  • Proficiency in Python or another major programming language
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning)
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLApache AirflowCloud ComputingFlaskKubernetesMachine LearningNumpyData engineeringData scienceRDBMSREST APIPandasCommunication SkillsCI/CDRESTful APIs

Posted about 5 hours ago
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🔥 IT Content Author
Posted about 6 hours ago

📍 United States

💸 74300.0 - 106567.0 USD per year

🔍 IT

🏢 Company: wiley_careers

  • Typically has MS/PhD or equivalent experience to demonstrate subject matter expertise
  • Typically has at least 2 years teaching experience, usually more
  • Acts as a resource for colleagues with less experience
  • Requires in-depth knowledge and experience
  • Uses best practices and knowledge of internal or external business issues to improve processes
  • Solves complex problems; takes a new perspective using existing solutions
  • Works independently, with guidance in only the most complex situations
  • Progression to this level is typically restricted to selected job families based on business requirements
  • May train/mentor for new authors in discipline
  • Authors sections, CA’s, labs, and other content types independently.
  • Takes ownership of assigned projects/titles.
  • May serve as a lead author on one or more titles
  • May maintain backlog of improvements for given titles and contributes strategy and roadmap ideas to leads or Senior Managers.
  • Responsible for ensuring quality of their projects/titles along with the project manager.
  • May speak at conferences; publish research papers, articles and blog posts.
  • Define and implement auto-generated and auto-graded homework assignments
  • Maintain and improve existing content
  • May collaborate with colleagues on the development team to define and develop interactive tools
  • Collaborate with colleagues in Marketing and Sales to assist with demos, respond to instructor feedback, assist with special requests, and more
  • May work with project managers to oversee external authoring projects (evaluate project proposals, train external authors to utilize the zyBooks platform, review content to ensure quality and adherence to zyBooks' authoring guidelines)

PythonHTMLCSSJavaJavascriptC++AlgorithmsContent creationContent managementData scienceData StructuresCI/CDRESTful APIsData visualizationDebugging

Posted about 6 hours ago
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🔥 Principal Data Scientist - Pharma Media
Posted about 6 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
  • 5+ years of analytics experience
  • Minimum of 4 years’ hands-on experience in machine learning and relational databases.
  • Proficient in data manipulation using SQL, Python, and/or similar programming languages.
  • Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
  • Strong project-management skills managing cross-functional workflows.
  • Proven ability to build and maintain client relationships.
  • Mentor data scientists, fostering collaboration and professional growth.
  • Develop and execute a data-science strategy aligned with company objectives.
  • Design, implement, and optimize predictive models and machine-learning algorithms.
  • Partner with software engineers, product managers, and business units to deliver client-facing solutions.
  • Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
  • Manage model lifecycle: design, training, evaluation, validation, and deployment.
  • Translate complex analytical results into clear business recommendations and compelling visualizations.
  • Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
  • Analyze digital trends, user behavior, and product performance.
  • Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
  • Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
  • Support measurement strategies, including learning agendas, test plans, and frameworks.
  • Collaborate regularly with stakeholders to address digital data needs and challenges.
  • Educate research and business teams on data-best practices and infrastructure.

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted about 6 hours ago
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🔥 Data Scientist – NLP & Real World Evidence (RWE) - Remote
Posted about 8 hours ago

📍 United States, Canada

🔍 Healthcare

🏢 Company: Veradigm👥 5001-10000💰 $100,000,000 Post-IPO Equity almost 10 years agoInformation ServicesElectronic Health Record (EHR)HospitalInformation TechnologyHealth Care

  • Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
  • Proficiency in Python and SQL.
  • Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
  • Experience with Azure OpenAI or other large language models.
  • Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
  • Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
  • Demonstrated ability to work with clinical text and health data (e.g., EMRs).
  • Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
  • Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
  • Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
  • Iterate on model development using feedback from real-world applications and clinician review.
  • Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
  • Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
  • Work with clients and stakeholders to identify key business problems and expected outcomes.
  • Explore and assess internal and external data sources to extract relevant features and patterns.
  • Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.

PythonSQLCloud ComputingData AnalysisETLMachine LearningAlgorithmsAzureData scienceData StructuresCI/CDRESTful APIsData visualization

Posted about 8 hours ago
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🔥 Senior Solutions Engineer, West Coast
Posted about 11 hours ago

📍 United States, Canada

🧭 Full-Time

💸 118300.0 - 147800.0 USD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 3+ years of success in a solutions engineering (presales) role with 6+ years of progressive professional experience supporting technical products.
  • Experience with Data Engineering, Cloud Data Warehouses, Data Modeling, and APIs
  • Experience with marketing technology such as marketing automation, personalization, journey orchestration, or advertising.
  • Partner with Account Executives to execute pre-sales activities including opportunity qualification, discovery, demonstrations, Proof-of-Concept, RFP responses,and justifying business value.
  • Become an expert builder and evangelist of Segment’s products and partner ecosystem.
  • Lead technical evaluations with our prospects to uncover their goals and technical pain, in order to design, demonstrate and present innovative solutions that unlock business-level gains.
  • Develop subject matter expertise on Customer Data Platforms (CDPs) and Segment’s role within the customer data ecosystem.
  • Act as a trusted advisor to consult with customers and prospects in order to influence their customer data strategy and architecture design.
  • Build a perspective on customer and market trends by listening to prospects and advocating for customer interests to influence Segment’s strategy and vision.

AWSCloud ComputingETLData engineeringData scienceCommunication SkillsProblem SolvingRESTful APIsSales experienceMarketingData modelingScriptingData analyticsData managementCustomer Success

Posted about 11 hours ago
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🔥 Senior Data Engineer
Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 145000.0 - 200000.0 USD per year

🔍 Daily Fantasy Sports

🏢 Company: PrizePicks👥 101-250💰 Corporate about 2 years agoGamingFantasy SportsSports

  • 5+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
  • 2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
  • Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
  • Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
  • Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Materialize, AlloyDB, etc Replication/ELT services: Data Stream, Hevo, etc. Data Transformation services: Spark, Dataproc, etc Scripting languages: SQL, Python, Go. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc. Data Processing and Messaging Systems: Kafka, Pulsar, Flink Code version control: Git Data pipeline and workflow tools: Argo, Airflow, Cloud Composer. Monitoring and Observability platforms: Prometheus, Grafana, ELK stack, Datadog Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, and Streamlit.
  • Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
  • Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
  • Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows.
  • Architect and implement Infrastructure as Code (IaC) solutions to automate and streamline the deployment and management of data infrastructure.
  • Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions.
  • Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
  • Serve as a Data Engineering thought leader within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
  • Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

LeadershipPostgreSQLPythonSQLApache AirflowBashCloud ComputingETLGCPGitKafkaKubernetesData engineeringData scienceREST APICI/CDRESTful APIsMentoringTerraformData modeling

Posted about 11 hours ago
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🔥 Data Scientist - Online Behavioural Analytics & Generative AI
Posted about 12 hours ago

📍 Poland, Estonia, Bulgaria, Serbia, Romania

🔍 Software Development

🏢 Company: Teramind👥 51-100Productivity ToolsSecurityCyber SecurityEnterprise SoftwareSoftware

  • 5 + years of hands-on experience in Data Science experiments design and working with Generative AI tools and LLMs (e.g. Gemini, OpenAI, Claude, LLama).
  • Strong statistical analysis skills, including hypothesis testing, regression, clustering, and time-series analysis.
  • Proficiency in Python, including libraries for data analysis (e.g., Pandas, NumPy), machine learning (e.g., scikit-learn), and data visualization (e.g., Matplotlib, Tableau).
  • Proven experience in data science, with a focus on online behavioural analytics, user journey analysis, or clickstream data.
  • Familiarity with Advanced Prompting Strategies, agentic AI frameworks, techniques for retrieval-augmented generation (RAG) and context enrichment using behavioural data.
  • Experience with Knowledge Graphs, SQL and data extraction from large-scale databases or web logs.
  • Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
  • Strong communication and collaboration skills for cross-functional teamwork and stakeholder engagement.
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Mathematics, Behavioural Science, or a related field.
  • Work closely with AI Engineering and Product teams to collect, clean, and preprocess clickstream data from web and mobile applications, ensuring data quality and consistency.
  • Design and implement methods to extract behavioural signals from raw click data, including sessionization, event tracking, and feature engineering.
  • Apply advanced statistical analysis and machine learning techniques to identify user patterns, predict behaviours, and segment audiences.
  • Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and key behavioural drivers.
  • Design and evaluate experiments (such as A/B tests) to assess the impact of changes to user interfaces or features on user behaviour.
  • Collaborate with cross-functional teams (product, UX, marketing) to translate business questions into data-driven analyses and actionable recommendations.
  • Develop and maintain dashboards and visualizations to communicate findings to both technical and non-technical stakeholders.
  • Design, build, and evaluate AI workloads utilising Generative AI models using frameworks such as LangChain, Model Context Protocol, and Hugging Face Transformers, with a focus on integrating and augmenting these models with user behavioural data for enhanced context and personalization.
  • Implement and work with agentic AI frameworks to orchestrate multi-step reasoning and autonomous workflows powered by LLMs, leveraging user clickstream and behavioural data as contextual inputs.
  • Stay updated with the latest developments in behavioural data science, analytics tools, Generative AI, and agentic AI methodologies.

AWSDockerPythonSQLData AnalysisGCPKubernetesMachine LearningNumpyTableauBehavioral scienceData sciencePandasData visualizationA/B testing

Posted about 12 hours ago
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🔥 Data Scientist
Posted about 14 hours ago

📍 United Kingdom

🔍 Advertising

  • Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Innovate ML algorithms to maximize ROI and advertising performance.
  • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
  • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

PythonMachine LearningAlgorithmsData scienceData Structures

Posted about 14 hours ago
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🔥 AI Engineer (Associate) - Remote
Posted about 15 hours ago

📍 United States, Canada

💸 100000.0 - 125000.0 USD per year

🏢 Company: huroncareers

  • Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
  • Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
  • Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
  • Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
  • Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
  • Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
  • Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
  • Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
  • Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
  • Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
  • Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
  • Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
  • Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
  • Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
  • Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
  • Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
  • Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
  • Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

AWSBackend DevelopmentDockerPythonSoftware DevelopmentSQLCloud ComputingData AnalysisFlaskFrontend DevelopmentKubernetesMachine LearningPyTorchAlgorithmsAPI testingAzureData engineeringData scienceFastAPITensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsAdaptabilityTeamworkJSONData modelingData managementDebugging

Posted about 15 hours ago
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Remote PHP Jobs

Looking for a stable remote job or freelance projects in PHP development? Remoote.app offers a wide range of opportunities from trusted companies worldwide. Enjoy flexible hours, competitive pay, and the freedom to work from anywhere. Sign up today and start finding the best remote PHP jobs!

Skills Required for Working as a Remote PHP Developer

Remote work requires not only technical expertise but also the ability to effectively collaborate with a team from a distance. To succeed as a remote PHP developer, it’s essential to have the following skills:

  • Strong PHP and framework knowledge — proficiency in PHP syntax and architecture, along with experience using modern frameworks like Laravel, Symfony, Yii, and others.
  • Database management — ability to design and optimize queries in MySQL, PostgreSQL, or other database management systems.
  • API development and integrations — experience building RESTful APIs, interacting with external services, and working with OAuth, JSON, XML, and WebSocket.
  • Version control systems (Git) — confident use of Git and collaboration platforms like GitHub, GitLab, or Bitbucket.
  • Teamwork skills — ability to collaborate effectively, work in Agile/Scrum teams, participate in code reviews, and discuss architectural decisions.

Another essential skill is English proficiency. Many companies operate in the international market, so even a basic command of English will help you communicate with your team, understand technical documentation, and participate in meetings.

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Regardless of your experience, our platform always has remote jobs that match your skills and career goals. We connect employers from around the world with PHP developers, helping them find exciting projects, competitive offers, and a comfortable work model.

Junior 

If you're just starting your career in web development, we have positions where you can tackle simple tasks, learn modern technologies, and receive support from experienced colleagues. Many employers offer mentorship and training to help beginners grow and gain experience faster.

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For developers with 2–5 years of experience, there are roles involving more complex projects, leveraging modern frameworks (like Laravel, Symfony, etc.), and opportunities to develop specialized skills. Working in international teams, flexible schedules, and competitive compensation make this level particularly attractive among remote professionals.

Senior 

Experienced specialists can apply for high-paying positions, handle architectural solutions, build complex systems, and lead teams. Companies are keen to attract senior developers for large-scale projects, improve existing code, and implement cutting-edge technologies.

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Freelance PHP developer work is an opportunity to build a career without being tied to an office, but the competition in the job market is high. To attract the attention of employers and secure the best offers, it is important to prepare well for the job search.

Create a Strong Resume and Portfolio  

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In addition to technical knowledge, employers highly value the ability to work in a team, clearly communicate ideas, manage time efficiently, and solve problems effectively. These skills are crucial for success in remote work environments, where clear communication and collaboration are key to completing projects successfully.

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Stay updated with new technologies, master modern frameworks and tools. Taking courses, contributing to open-source projects, and practicing regularly will help you stand out among other candidates. Continuously improving your technical expertise ensures that you remain competitive in the ever-evolving field of PHP development.

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