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πŸ“ Spain

πŸ” Software Development

  • Strong expertise in computer vision and deep learning
  • Experience as a tech lead
  • Develop the fastest, most accurate detection engine that tackles critical challenges in face image security.
  • Work with state-of-the-art deep learning models and computer vision algorithms
  • Guide technical strategy and mentor engineers

DockerLeadershipPythonAgileGitImage ProcessingKerasKubernetesMachine LearningPyTorchSCRUMAlgorithmsData StructuresTensorflowCI/CDRESTful APIsMentoringLinuxData analytics

Posted 29 minutes ago
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πŸ”₯ Middle NLP Engineer
Posted about 1 hour ago

πŸ“ Serbia

🧭 Full-Time

πŸ” Software Development

🏒 Company: Social Discovery GroupπŸ‘₯ 501-1000Venture CapitalFinanceInformation Technology

  • Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
  • Excellent coding skills
  • Strong knowledge of LLMs: APIs, best models, and prompting techniques
  • Familiarity with Data & ML production pipelines (Airflow, MlFlow)
  • Proven experience working on ML solutions
  • Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
  • Build ML/AI models, write services (if needed for the project), wrap them into Docker
  • Collaborate with cross-functional team of: Product owner, Analytics, ML
  • Share ideas and help with knowledge with the team

AWSDockerPythonData AnalysisGCPMachine LearningMLFlowNumpyAirflowAlgorithmsAzureREST APIPandas

Posted about 1 hour ago
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πŸ“ United States

πŸ’Έ 92000.0 - 180000.0 USD per year

πŸ” Software Development

  • Strong experience leading/managing a team of software engineers to develop applications
  • Ability to work closely with other leaders to scale our technology and the Engineering organization
  • Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
  • Ability to drive technical projects and planning
  • Strong communication skills; able to disseminate information across the organization and have strategic influence
  • A minimum of 7 years’ experience developing production-grade systems
  • A minimum of 5 years’ experience managing developers and DevOps teams
  • Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
  • Provide strategic support and challenge decisions through thought-provoking questions.
  • Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
  • Simplify complex problems to make them manageable for the organization
  • Drive organizational change effectively
  • Foster strong cross-functional communication and collaboration
  • Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
  • Drive the adoption of cloud best practices, microservices, and scalable architecture
  • Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
  • Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
  • Effectively manage remote engineers
  • Provide technical and organizational leadership across the engineering team
  • Coach/mentor team members to encourage professional and career growth

LeadershipSoftware DevelopmentSQLCloud ComputingETLMachine LearningMicrosoft AzurePeople ManagementCross-functional Team LeadershipAlgorithmsAzureData engineeringData scienceCommunication SkillsAnalytical SkillsCI/CDDevOpsMicroservicesData visualizationStakeholder managementData modelingData management

Posted about 2 hours ago
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πŸ“ Philippines

🏒 Company: Manila RecruitmentπŸ‘₯ 11-50Staffing AgencyConsultingHuman ResourcesRecruitingSocial Media

  • 3+ years of experience in AI-driven workflow automation and process optimization.
  • Strong knowledge of Python for automation, scripting, and AI model integration.
  • Experience with workflow automation tools (Monday.com, Gumloop, Make, Zapier, UiPath, Power Automate, etc.).
  • Proficiency in REST APIs, Webhooks, and third-party service integrations.
  • GIS knowledge, especially open source like QGIS, is highly desirable but not mandatory.
  • Hands-on experience with data visualization and business intelligence tools (Power BI, Tableau).
  • Familiarity with cloud services (AWS, Azure, Google Cloud,) and AI frameworks.
  • analytical and problem-solving skills with attention to detail.
  • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Design and implement AI-driven automation workflows using tools like Monday.com, Gumloop/n8n, Make, Zapier, UiPath, and other RPA platforms.
  • Develop/implement Python scripts for data processing, workflow automation, and AI model integration.
  • Optimize business operations through intelligent decision-making algorithms.
  • Automate workflows in Monday.com, Visio, Power BI, Google Suite, and other relevant enterprise tools.
  • Develop and maintain custom automation solutions integrating APIs and third-party services.
  • Work with structured and unstructured data to automate decision-making processes.
  • Utilize AI/ML models to enhance automation and business intelligence.
  • Develop and fine-tune predictive analytics and visualization solutions for process optimization and market analysis.
  • Integrate natural language processing (NLP) and AI chatbots into automation workflows where applicable.
  • Implement error-handling mechanisms and monitoring tools for automation processes.
  • Conduct regular performance analysis to ensure efficiency and scalability.
  • Maintain documentation and provide training for stakeholders on automated workflows.
  • Identify, document, and track defects in collaboration with development teams, ensuring timely resolution and validation.
  • Architect and enhance test automation frameworks to support functional, regression, integration, and performance testing across web, mobile, and/or API-based applications.
  • Contribute to performance and load testing initiatives using tools like JMeter, LoadRunner, or Gatling (as applicable).
  • Proactively identify areas for improvement in testing processes, tools, and workflows, and implement solutions to enhance efficiency and effectiveness.
  • Work closely with cross-functional teams to understand requirements, resolve issues, and ensure alignment on quality goals.

AWSPythonSQLArtificial IntelligenceBusiness IntelligenceCloud ComputingData AnalysisETLGCPMachine LearningMicrosoft Power BINumpyTableauAPI testingAzureREST APIPandasAnalytical SkillsProblem SolvingRESTful APIsAttention to detailExcellent communication skillsJSONData visualizationData modelingScripting

Posted about 3 hours ago
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πŸ“ Canada

🧭 Full-Time

πŸ’Έ 135000.0 - 150000.0 CAD per year

πŸ” Software Development

🏒 Company: Datatonic

  • 4+ years of experience in the DevOps field or as a Platform Engineer
  • Proficiency in Python, Java, or Go programming languages
  • In-depth knowledge of CI/CD tools and processes
  • Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
  • Proficiency with technologies such as Terraform and Kubernetes
  • Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
  • Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
  • Define and embed best practices into our internal processes to enhance the quality and consistency of our work
  • Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
  • Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
  • Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
  • Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
  • Collaborate closely with partners such as Google to leverage their technologies effectively
  • Guide team members, fostering a culture of growth and innovation
  • Provide expert advice to customers on DevOps best practices
  • Establish and enhance DevOps functions within clients’ organisations
  • Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

LeadershipPythonAgileGCPKubernetesMachine LearningData engineeringCommunication SkillsAnalytical SkillsCI/CDProblem SolvingCustomer serviceRESTful APIsMentoringLinuxDevOpsTerraformExcellent communication skillsTeamworkScripting

Posted about 3 hours ago
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πŸ“ Canada

πŸ” Software Development

🏒 Company: Nearform

  • 15+ years of technical leadership experience, ideally within consulting, SaaS, or large-scale digital transformation projects.
  • Deep expertise in software architecture, cloud platforms, and modern development practices.
  • A strong track record of guiding technical decisions on complex, high-impact projects.
  • Experience leading pre-sales, discovery, and solution design discussions.
  • Strong ability to communicate complex technical concepts to non-technical stakeholders.
  • A consultative mindset, able to align business needs with technical strategies.
  • Strong stakeholder management and negotiation skills to influence at all levels.
  • Hands-on experience with AI, databases, distributed systems, and modern software engineering best practices.
  • Experience leading and mentoring senior software development teams
  • A passion for continuous learning, innovation, and professional excellence.
  • Set and communicate a clear technical vision for projects that align with business goals.
  • Provide technical leadership on architecture, software development best practices, and cutting-edge technologies.
  • Be part of the account leadership teams, driving strategic growth and long-term partnerships.
  • Serve as a trusted advisor to clients, collaborating with CIOs, CTOs, and other senior leaders.
  • Ensure projects are staffed with the right talent, working with resourcing and talent acquisition teams.
  • Provide technical leadership and foster a culture of excellence and innovation across teams.
  • Partner with clients to understand their business objectives and translate them into technical strategies.
  • Lead client discovery workshops, ensuring alignment between business needs and technical solutions.
  • Collaborate with internal teams to develop tailored solution proposals that are technically sound and commercially viable.
  • Define project scope, deliverables, and timelines in collaboration with clients and project teams.
  • Serve as the final technical authority in critical design and delivery discussions.
  • Oversee technical execution, ensuring quality, scalability, and maintainability of solutions.
  • Monitor project health, proactively identifying risks and ensuring successful outcomes.
  • Participate in technical stack reviews, architectural decisions, and design phases.
  • Ensure effective financial oversight, managing project burn-down and revenue opportunities.
  • Drive a culture of continuous improvement, staying ahead of industry trends and best practices.
  • Act as a thought leader in the industry through speaking engagements, blog writing, and mentorship.
  • Champion Diversity, Equity, and Inclusion (DEI) and sustainability initiatives within Nearform.
  • Engage in technical community building, contributing to open-source projects or internal knowledge sharing.

AWSBackend DevelopmentLeadershipProject ManagementSoftware DevelopmentSQLCloud ComputingDesign PatternsFrontend DevelopmentFull Stack DevelopmentJavascriptMachine LearningSoftware ArchitectureAlgorithmsAPI testingData StructuresCommunication SkillsCI/CDRESTful APIsMentoringNegotiationDevOpsStakeholder managementStrategic thinkingData modelingNodeJS

Posted about 3 hours ago
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πŸ“ Spain

πŸ” Biometric Security

  • Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects.
  • Experience communicating and working across functions to drive solutions.
  • 5+ years of experience in software engineering, computer vision, machine learning, and image processing.
  • Strong proficiency in Python and ML Ops.
  • Experience in one or more deep learning frameworks: Tensorflow / Pytorch.
  • Experience with Linux, Docker, git, and MongoDB.
  • Experience with MLOPS tools: dvc / MLflow/ ClearML / Airflow.
  • Tackle complex machine learning challenges, from designing, training, evaluating, and optimizing deep learning models for a wide range of tasks: face detection and recognition, deepfake detection, image quality assessment and others.
  • Perform deep data analysis and build data-driven algorithms.
  • Collaborate cross-functionally to transform research prototypes into robust, high-performance production solutions.
  • Provide technical leadership, making crucial decisions on ML architecture, model optimization, and coding practices.
  • Stay at the forefront of emerging technologies and research, driving continuous improvement and innovation in our solutions.
  • Own the ML Ops stack, with a strong emphasis on training, evaluation, and model versioning to ensure our machine learning models are reliable, scalable, and production ready.

DockerLeadershipPythonData AnalysisGitImage ProcessingMachine LearningMLFlowMongoDBPyTorchAlgorithmsTensorflowLinuxSoftware Engineering

Posted about 3 hours ago
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πŸ”₯ AI Business Analyst
Posted about 4 hours ago

πŸ“ Poland

🧭 Full-Time

🏒 Company: Neurons LabπŸ‘₯ 11-50πŸ’° Corporate over 2 years agoArtificial Intelligence (AI)Information TechnologySoftware

  • 3-5+ years experience in business analysis, process improvement, or consulting
  • Practical knowledge of AI/ML concepts and business applications
  • Hands-on experience with one or more no-code/low-code platforms
  • Demonstrated success in requirements gathering and stakeholder management
  • Experience with digital transformation or technology implementation projects
  • Background in financial services
  • Lead Discovery Process and Validate AI Opportunities
  • Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
  • Develop business cases with clear ROI models and success metrics
  • Build consensus among stakeholders on solution direction
  • Map and Redesign Business Processes
  • Document current workflows and pain points
  • Design AI-enhanced future-state processes
  • Quantify expected business improvements
  • Define AI Solution Requirements
  • Translate business needs into clear technical requirements
  • Create user stories and acceptance criteria
  • Establish validation approaches for measuring success
  • Create Solution Prototypes
  • Build functional demonstrations using no-code/low-code tools
  • Gather user feedback to refine concepts
  • Stay Current on AI Capabilities
  • Actively test and experiment with emerging AI technologies firsthand
  • Evaluate new tools and platforms for business value
  • Share relevant insights with stakeholders
  • Ensure Ongoing Business Alignment
  • Manage stakeholder expectations throughout delivery
  • Lead business review sessions
  • Mitigate risks to value realization

Project ManagementSQLArtificial IntelligenceBusiness AnalysisBusiness DevelopmentData AnalysisMachine LearningData visualizationStakeholder managementProcess improvement

Posted about 4 hours ago
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πŸ“ United States of America

🧭 Full-Time

πŸ” Biotechnology, Pharmaceutical, Healthcare

🏒 Company: clarivate_careers

  • PhD (or 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 five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
  • 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.

AWSDockerPythonSQLApache AirflowApache HadoopCloud ComputingData AnalysisData MiningETLFlaskImage ProcessingKafkaKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresRDBMSNosqlPandasTensorflowCI/CDRESTful APIsTerraformJSONData visualizationAnsibleData modelingData analyticsData management

Posted about 4 hours ago
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πŸ“ France

🧭 Internship

πŸ” Machine Learning

🏒 Company: Hugging FaceπŸ‘₯ 51-200πŸ’° $235,000,000 Series D over 1 year agoSoftware Development

Interest in open-source, passion for making complex technology accessible, and a desire to contribute to a fast-growing ML ecosystem.
  • Converting and optimizing models for in-browser inference (ONNX, quantization)
  • Enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM)
  • Building demo applications to showcase new features
  • Fostering a collaborative open-source community

PythonFrontend DevelopmentGitJavascriptMachine LearningNumpyOpenCVPyTorchReact.jsTypeScriptAlgorithmsData StructuresREST APITensorflowWeb3.jsCI/CDRESTful APIsNodeJSSoftware Engineering

Posted about 13 hours ago
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