Nacre Capital

👥 10-100 Venture Capital💼 Private Company

Nacre Capital is a global venture builder that focuses on developing and scaling disruptive startups harnessing deep technologies to drive significant societal impact. Our international team of experts collaborates to transform innovative ideas into successful, market-leading companies.

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🔥 Data Engineer

Posted about 1 month ago

📍 India

🔍 Artificial intelligence and aquaculture

Proficiency in English (spoken and written).
Strong experience in Python and SQL.
Hands-on experience with data processing in Apache Airflow.
Experience working with databases, including MongoDB (NoSQL) and relational databases.
Understanding of data modeling, ETL processes, and data warehousing concepts.
Experience with cloud platforms like AWS, GCP, or Azure.

Develop, maintain, and optimize data pipelines and workflows to support ML research and model development.
Design and implement scalable data architectures for handling large datasets used in ML models.
Collaborate closely with ML researchers and data scientists to understand data requirements and ensure data availability and quality.
Prepare and transform data for ML experiments using databases and data integration processes.
Utilize MongoDB and other NoSQL databases to manage unstructured and semi-structured data.
Write efficient, reliable, and maintainable code in Python and SQL for data processing tasks.
Implement data validation and monitoring systems to ensure data integrity and performance.
Support the deployment of ML models by integrating data solutions into production environments.
Ensure the scalability and performance of data systems through rigorous testing and optimization.

AWSPythonSQLApache AirflowETLGCPMongoDBAzure

Posted about 1 month ago

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🔥 AI Researcher

Posted about 2 months ago

📍 Brazil, Romania

🔍 Artificial intelligence solutions for aquaculture

Proven track record in developing image/video processing and computer vision solutions.
3+ years of experience as a machine learning engineer/researcher or in a similar role.
Proficiency with common Python machine learning frameworks (scikit-learn, SciPy, Matplotlib, PyTorch, etc.).
Strong understanding of data structures, data modeling, and software architecture.
Ability to write clean, robust, and efficient code.
Excellent communication and presentation skills in English.
MSc or PhD in Computer Science, Engineering, Mathematics, or a related field.
Candidates with a BSc degree and equivalent industrial experience are also encouraged to apply.

Design, adapt, and implement machine learning and classical algorithms from proof of concept (POC) to working prototypes.
Plan and conduct experiments to address critical business questions.
Develop and maintain model testing and statistical verification processes.
Implement data processing and training pipelines.
Extend existing machine learning and deep learning codebases and frameworks.
Thoroughly document POCs and experiments.
Plan and lead long-term research activities.
Assist in recruiting talent in the field.
Stay up-to-date with the latest developments in AI and machine learning.

AWSDockerPythonSQLArtificial IntelligenceJenkinsMachine LearningMLFlowMongoDBPyTorchAlgorithmsAzureData StructuresCI/CDPresentation skills

Posted about 2 months ago

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🔥 Sales Business Development

Posted about 2 months ago

📍 Philippines

🔍 Startup ecosystem

1-2 years of experience with telemarketing and email marketing is a MUST.
Proficient in English, both written and verbal communication is a MUST.
Proven experience in conducting research and data analysis in the startup ecosystem is a MUST.
Strong business acumen and creative mindset.
Any Business Research oriented certificate is preferred.
Excellent organizational, writing, and reporting skills.
Bachelor's degree in International Relations, Business Administration, or related field.
Proficient in Microsoft Outlook, Excel, Docs, Adobe, PowerPoint, and G Suite.
Ability to work effectively in an international team across different time zones.
Self-motivated, able to work independently and as a team player.
Strong problem-solving skills and ability to prioritize tasks.

Cold calling potential clients.
Using creative strategies to promote conversion.
Conduct a comprehensive email campaign alongside cold-calling activities.
Conduct in-depth research and analysis to support novel ideas and market opportunities.
Work independently to gather and analyze data, prepare reports, and create presentations.
Collaborate with cross-functional teams to refine business strategies.
Prioritize tasks and meet deadlines for high-quality deliverables.
Enhance Nacre's CRM and database.
Serve as a point of contact for external clients.

Business DevelopmentData AnalysisCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingMicrosoft OfficeAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitaskingMicrosoft Office SuiteResearchPowerPoint

Posted about 2 months ago

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🔥 Digital Marketing Manager

Posted about 2 months ago

📍 Argentina

🔍 Venture Capital

Bachelor's degree in Marketing, Communications, or a related field; an MBA is a plus.
3+ years of experience in digital marketing, preferably in a managerial role.
Strong knowledge of digital marketing tools and techniques, including SEO, PPC, social media, content marketing, and email marketing.
Proficiency in analytics tools such as Google Analytics, HubSpot, or similar.
Excellent written and verbal communication skills.
Proven ability to manage multiple projects simultaneously and meet deadlines.
Creative mindset with strong problem-solving skills.
Experience in the startup or venture capital space is a plus.
Excellent English level (Advanced and + - its a MUST).
Experience in the healthcare sector is desirable.

Plan, develop, and implement comprehensive digital marketing strategies to enhance brand awareness and engagement.
Manage social media accounts, creating and curating content that resonates with our audience and drives engagement.
Conduct market research to identify trends, competitive landscape, and customer insights.
Analyze performance metrics and prepare regular reports to gauge effectiveness of marketing campaigns and initiatives.
Collaborate with SEO and content teams to optimize web content for search engines.
Develop and manage email marketing campaigns, including segmentation, targeting, and analytics.
Stay updated on digital marketing trends and emerging tools/technologies to refine strategies.
Work with external agencies and vendors when necessary to enhance marketing efforts.

LeadershipProject ManagementAdobe Creative SuiteAdobe IllustratorAdobe PhotoshopData AnalysisFigmaGraphic DesignProduct ManagementGoogle AnalyticsCross-functional Team LeadershipContent creationGoCommunication SkillsAnalytical SkillsCollaborationProblem SolvingSEOAttention to detailOrganizational skillsTime ManagementWritten communicationMultitasking

Posted about 2 months ago

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🔥 Quality Assurance Engineer

Posted 2 months ago

📍 India

🔍 Healthcare

Cares about quality; detailed, meticulous, organized, and methodological.
Excellent communication skills in English.
Proven record of accomplishment leading a QA team.
Experience with automation testing tools like Selenium.
Experience building testing infrastructure as part of a team or independently.
Experience with data-driven QA testing (e.g., DB testing).
Experience with API based tests using tools such as Postman.
Good experience in testing asynchronous systems.
Good experience in mobile testing, including Android and iOS.
Knowledge of software architecture, specifically MS services and event-driven systems.
Knowledge of web technologies, including web applications and HTTP protocols.
Excellent planning and sequencing of QA activities.
Excellent test writing and reporting skills.
Experience monitoring system logs.
Ability to write scripts for automating tests and QA tasks.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.

Reports to the Head of Product and part of the Product group.
Handles the Quality of the product ensuring that all quality check points are met.
Leads a team of quality assurance engineering; automation and manual testers.
Handles the QA infrastructure selecting tools and methods to use.
Works together with engineers, AI, and Clinical team to define and implement OKR for high velocity and confidence.
Expected to have superior knowledge of the product and its inner workings.
Handles the Test Suite library and QA documentation.
Ensures the team meets the quality required by the organization.
Monitors systems daily post-release to find issues.
Communicates with stakeholders to provide support and guidance on the product.
Handles QA requirements and qualifies specifications before development.
Plans and sequences QA activities in collaboration with PM and other team members.

LeadershipAndroidArtificial IntelligenceQASoftware ArchitectureMobile testingSeleniumCommunication SkillsCollaborationAttention to detailDocumentationQuality Assurance

Posted 2 months ago

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🔥 SQL Performance Tuning DBA (Database Administrator)

Posted 3 months ago

📍 Philippines

Experience: 5+ years of hands-on experience as a SQL Server DBA, with a focus on performance tuning and query optimization, including 2+ years of experience managing SQL Server databases on AWS RDS.
Technical Skills: Expertise in Microsoft SQL Server (versions 2016 and above), Strong proficiency in T-SQL programming, query tuning, and stored procedures.
Experience with database indexing, partitioning, and normalization.
Familiarity with SQL Profiler, Extended Events, and Query Store.
Knowledge of AWS RDS for SQL Server, including setup, configuration, and optimization.
Experience with AWS services like CloudWatch, IAM, S3, and EC2 in relation to database management.
Expertise in replication, high availability (HA), disaster recovery (DR), and clustering strategies.
Experience with database design, data modeling, and cloud-based scaling strategies.

Optimize SQL Queries: Analyze, review, and refactor existing SQL queries for improved performance on both on-premise and AWS RDS-hosted SQL Servers.
Database Maintenance: Monitor, maintain, and tune SQL Server databases, ensuring high performance and availability in both on-premise and AWS RDS environments.
AWS RDS Management: Configure, manage, and optimize SQL Server databases hosted on AWS RDS, including backups, security, scaling, and monitoring.
Index Management: Design, implement, and maintain indexing strategies to ensure efficient query execution.
Performance Tuning: Identify and resolve performance bottlenecks using SQL Profiler, Performance Monitor, AWS CloudWatch, and other monitoring tools.
Database Design: Collaborate with development teams to design efficient, scalable database structures that meet business needs.
Backup and Recovery: Implement backup and disaster recovery strategies for both on-premise SQL Server databases and AWS RDS instances.
Security Management: Ensure the security of databases, with a focus on AWS IAM roles, encryption, and security best practices for cloud environments.
Documentation: Maintain thorough documentation of database configurations, optimizations, and AWS RDS configurations.

AWSSQLMicrosoft SQL ServerCommunication SkillsCollaborationCI/CDDocumentation

Posted 3 months ago

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🔥 Computer Vision Algorithms Researcher

Posted 3 months ago

📍 Portugal

🔍 Computer vision, AI technology

Proven experience in developing image/video processing and computer vision solutions, especially in facial recognition AI technology.
Understanding of data structures, data modeling, and software architecture.
Knowledge of common machine learning Python frameworks (TensorFlow, Keras, ONNX, Mxnet, or PyTorch).
Understanding of computer system architectures, APIs, and user management.
Excellent communication skills.
Outstanding technological problem-solving skills.
MSc/PhD in Computer Science/Engineering, Mathematics, or a similar field; Candidates holding at least a BSc degree with equivalent industrial experience can fit as well.

Actively contribute to hands-on algorithm development and research activities.
Develop and enhance algorithms to increase accuracy and performance on an ongoing basis.
Stay up-to-date on state-of-the-art research and advise on how to leverage it in the product.
Test existing and new models with extensive data sets and scientific approaches.
Collaborate with other teams to implement new algorithms into the product.
Implement data processing and training pipelines, and extend existing machine learning and deep learning frameworks.

PythonKerasMachine LearningPyTorchSoftware ArchitectureAlgorithmsData StructuresTensorflowCommunication Skills

Posted 3 months ago

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Nacre Capital

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