Teramind

👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software💼 Private Company

Teramind is a global innovator in Insider Risk Management and User Behavior Analytics, providing cutting-edge software to help organizations mitigate insider threats and safeguard sensitive data.

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Jobs at this company:

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🔥 Security Analytics Lead

Posted 4 days ago

📍 Romania, Ukraine, Poland, Albania, Bulgaria

🔍 Security Analytics

🔧 Requirements

5+ years of experience in security analytics or a related field
Expertise in security information and event management (SIEM) tools
Strong background in data analysis, data visualization, and reporting
Solid understanding of cybersecurity frameworks and compliance (e.g., NIST, ISO 27001)
Experience leading and developing a team of security analysts
Excellent communication skills and ability to present findings to diverse audiences

💡 Responsibilities

Leading a team dedicated to analyzing security data
Identifying trends
Predicting potential security incidents before they occur
Working closely with stakeholders to define metrics and develop security models

CybersecurityData AnalysisCommunication SkillsAnalytical SkillsComplianceExcellent communication skillsReportingData visualizationTeam managementData modelingData analytics

Posted 4 days ago

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🔥 Senior Machine Learning Engineer

Posted 4 days ago

📍 Mexico, Argentina, Brazil, Peru, Costa Rica

🔍 Software Development

🔧 Requirements

5+ years of hands-on experience in implementing and scaling production machine learning systems.
Strong software engineering skills, with a focus on machine learning implementation and optimization.
Proficiency with popular machine learning frameworks and tools (e.g., TensorFlow, PyTorch) to drive model development.
Understanding of distributed computing principles and experience with real-time data processing architectures.
Experience in deploying systems for efficient batch processing and online ETL (Extract, Transform, Load).
Familiarity with model optimization techniques and performance tuning to ensure efficient operation.
Experience with machine learning applications focused on security is a plus and will be highly regarded.

💡 Responsibilities

Implement and optimize machine learning models for production environments, ensuring they meet scalability and reliability standards.
Design and build robust data processing pipelines for real-time anomaly detection, enhancing our capability to respond to user behavior dynamically.
Develop comprehensive systems for monitoring model performance and effectiveness, allowing for quick adjustments and improvements.
Create infrastructure for ongoing model training and refinement to adapt to new data and evolving user needs.
Work closely with data scientists to efficiently implement algorithms, ensuring alignment with our overall system architecture.
Collaborate with software engineers to seamlessly integrate machine learning capabilities into our platform, enhancing user experience and functionality.

PythonETLMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresPandasTensorflowData visualizationSoftware Engineering

Posted 4 days ago

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🔥 Technical AI Project Director

Posted 4 days ago

📍 Brazil, Argentina, Mexico, Uruguay, Chile

🔍 Security

🔧 Requirements

10+ years of experience in technical leadership roles, particularly in AI and machine learning.
Demonstrated success in delivering AI/ML products, preferably within the security or related sectors.
Experience managing cross-functional teams throughout complex product development cycles.
Strong understanding of machine learning concepts, anomaly detection methodologies, and security analytics frameworks.
Exceptional communication skills, with the ability to articulate complex technical concepts to diverse stakeholders, including non-technical audiences.
An advanced degree in Computer Science, Artificial Intelligence, or a related field is preferred.

💡 Responsibilities

Lead the Development: Oversee the end-to-end creation of an AI-powered anomaly detection system that enhances our product offerings and addresses security challenges.
Team Management: Mentor and manage a diverse team of 12-15 specialists, including data scientists, machine learning engineers, software developers, and security professionals.
Architectural Direction: Define and implement a robust technical architecture and strategy that supports project goals and aligns with industry best practices.
Strategic Collaboration: Partner with executive leadership to ensure the alignment of feature development with the overall company vision and strategic objectives.
Project Oversight: Ensure the timely delivery of project milestones while adhering to budget constraints and quality standards.
Promote Innovation: Drive advancements in behavioral analytics and security AI, fostering a culture of creativity and forward-thinking within the team.

Posted 4 days ago

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🔥 Head of Data Science

Posted 4 days ago

📍 Brazil, Argentina, Ukraine, Romania, Mexico

🔍 Insider Risk Management

🔧 Requirements

8+ years of experience in data science, machine learning, or a related field, with at least 3 years in a leadership role.
Strong expertise in machine learning algorithms and statistical modeling techniques.
Hands-on experience with data science tools and frameworks, including Python, familiarity with ML frameworks
Expertise in anomaly detection, time series analysis, and behavioral modeling
Experience applying machine learning to security challenges preferred
Proven track record in deploying data-driven solutions that have contributed to business growth.
Excellent communication skills for effectively presenting complex technical concepts to non-technical stakeholders.
Strong analytical and problem-solving skills, complemented by a strategic mindset.
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.

💡 Responsibilities

Lead and manage a high-performing data science team in developing behavioral analytics models, fostering a culture of innovation and continuous improvement.
Define and execute the data science strategy in alignment with business objectives, ensuring robust analytical methodologies.
Oversee the design and implementation of machine learning models and frameworks to solve pertinent business challenges.
Establish methodologies for baselining normal user behavior
Develop risk scoring mechanisms for potential security threats
Collaborate with security experts to translate threat patterns into detection models
Monitor and assess industry trends and advancements in data science and machine learning, leveraging new technologies and methodologies.
Guide the team in conducting exploratory data analysis, performance tuning of algorithms, and ensuring the accuracy of predictions.
Establish key performance indicators and metrics to evaluate the effectiveness of data science initiatives.

AWSLeadershipPythonSQLData AnalysisMachine LearningMLFlowAlgorithmsData engineeringData scienceREST APIData visualizationTeam managementData modeling

Posted 4 days ago

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🔥 Machine Learning Engineering Lead

Posted 5 days ago

📍 Argentina, Brazil, Chile, Ukraine, Poland

🔍 Insider Risk Management and User Behavior Analytics

🔧 Requirements

7+ years of experience in machine learning or data science roles, with at least 3 years in a leadership position
Strong proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Proven track record of successfully deploying ML models into production environments
Experience with cloud-based ML platforms (e.g., AWS Sagemaker, Google AI Platform) and MLops practices
Solid understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
Excellent leadership and team management skills with the ability to inspire and motivate team members
Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
A degree in Computer Science, Engineering, Data Science, or a related field (Master’s or Ph.D. is a plus)

💡 Responsibilities

Lead and mentor a team of machine learning engineers, providing technical guidance and fostering a collaborative environment
Design, implement, and oversee the entire ML lifecycle, from data preparation to model deployment and monitoring
Collaborate with cross-functional teams to define project goals, communicate progress, and ensure alignment with business objectives
Stay abreast of industry trends and advancements in ML and data science, integrating new technologies and methodologies as appropriate
Drive continuous improvement in ML processes and practices, ensuring high standards of model performance, accuracy, and interpretability

AWSLeadershipPythonSQLCloud ComputingData AnalysisMachine LearningPyTorchAlgorithmsData scienceTensorflowCommunication SkillsProblem SolvingData visualizationTeam management

Posted 5 days ago

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🔥 Senior Data Scientist

Posted 5 days ago

📍 Mexico, Brazil, Ukraine, Romania, Argentina

🔍 Insider Risk Management and User Behavior Analytics

🔧 Requirements

5+ years of hands-on experience in in data science with a strong background in machine learning.
Proficiency in programming languages such as Python and ML frameworks
Expertise in anomaly detection and behavioral analytics
Knowledge of statistical analysis and model validation techniques
Demonstrated experience with advanced algorithms and ML techniques including clustering, regression, classification, and neural networks.
Strong analytical skills with the ability to interpret large data sets and draw meaningful conclusions.
Advanced English level
Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

💡 Responsibilities

Develop and optimise complex modelsfor detecting anomalous user behavior
Create algorithms for identifying potential insider threats and security violations
Design feature engineering approaches for behavioral data
Implement unsupervised learning techniques for pattern discovery
Collaborate with security analysts to validate model effectiveness
Optimise models for production performance and accuracy
Collaborate with cross-functional teams to define metrics and key performance indicators, developing dashboards and reporting tools.
Establish best practices for data science methodologies that streamline processes and improve model reliability.
Stay abreast of the latest advancements in data science and machine learning, integrating new techniques and technologies where appropriate.

PythonData AnalysisMachine LearningAlgorithmsData scienceData visualizationData modeling

Posted 5 days ago

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🔥 Senior Data Engineer

Posted 5 days ago

📍 Costa Rica, Brazil, Argentina, Chile, Mexico

🔍 Insider Risk Management

🔧 Requirements

6+ years of experience in data engineering, with a proven track record of successfully delivering data-driven solutions.
Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks.
Experience with big data technologies and distributed systems, such as Hadoop, Spark, or similar frameworks.
Proficient programming skills in languages such as Python, Java, or Scala, alongside a solid understanding of database management systems (SQL and NoSQL).
Understanding of data requirements for machine learning applications and how to optimize data for model training.
Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.

💡 Responsibilities

Design and implement robust data architecture tailored for AI-driven features, ensuring it meets the evolving needs of our platform.
Build and maintain efficient data pipelines for processing user activity data, ensuring data flows seamlessly throughout our systems.
Develop comprehensive systems for data storage, retrieval, and processing, facilitating quick and reliable access to information.
Ensure high standards of data quality and availability, enabling machine learning models to produce accurate and actionable insights.
Enhance the performance and scalability of our data infrastructure to accommodate growing data demands and user activity.
Work closely with data scientists and machine learning engineers to understand their data requirements and ensure data solutions are tailored to their needs.

PythonSQLApache HadoopETLMachine LearningAzureData engineeringNosqlComplianceScalaData visualizationData modelingData management

Posted 5 days ago

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🔥 Technical Customer Support Specialist- night shift

Posted 6 days ago

📍 Thailand, Vietnam, Philippines

🔍 Security Software

🔧 Requirements

Minimum 2 years of relevant experience as technical support/support engineer/customer support or in a similar role
Ability to navigate comfortably in Linux, Windows, and MacOS.
Good knowledge of working with ticketing systems
Basic knowledge of SQL (PostgreSQL preferred)
Basic knowledge of servers
A thoughtful communicator who is excellent at communicating through a variety of channels that require both written and verbal skills in English.
Strong interpersonal skills and ability to work with customers & cross-functional teams.
Has strong reading comprehension and attention to detail.
Has customer service experience and familiarity with ticketing systems or other written customer interactions.
Ability to translate intricate technical details to simple, understandable terms.

💡 Responsibilities

Provide technical support to our customers
Maintain high customer satisfaction while managing operational expectations
Become a product expert and maintain a deep understanding of product functionality
Evaluate and analyze issues & their impact to resolve or escalate tickets as needed
Communicate thoughtfully to provide answers to questions for both technical and non-technical end users while also supporting a wide range of technologies.
Identify trends in support requests to help create long-term solutions.

PostgreSQLSQLRESTful APIsLinuxTechnical supportCustomer support

Posted 6 days ago

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🔥 Senior Python Engineer (microservice/web architectures)

Posted 15 days ago

📍 Ukraine, Argentina, Chile, Uruguay, Poland

🧭 Full-Time

🔍 Software Development

🔧 Requirements

7+ years of commercial experience as a Python Engineer utilizing FastAPI to build microservice/web architectures
Data transformation and synchronization experience
Solid experience with SQL databases
Experience with Docker or similar container management tooling
Experience with Object Oriented Programming / Object-Oriented Design Patterns
Experience with open-source tooling and frameworks
Experience building/interacting with a variety of REST, webhooks, websockets, etc. APIs
Experience designing and building scalable solutions that leverage both relational and NoSQL databases
Ability to maintain critical production software and build new production software from scratch
Cloud experience
Familiarity with concepts related to the deployment of ML models in a production environment

💡 Responsibilities

Design, develop, and maintain backend systems using Python and associated technologies
Create and maintain databases using SQL database technologies
Write unit tests and conduct system testing to ensure code quality and reliability
Optimize applications for maximum speed and scalability
Stay up to date with emerging trends and technologies in software development, data processing, caching, cloud deployment, distributed computing, and API development

Backend DevelopmentDockerPythonSQLCloud ComputingDesign PatternsMachine LearningAPI testingData engineeringFastAPIRDBMSREST APINosqlMicroservicesSoftware Engineering

Posted 15 days ago

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🔥 Senior C++ Developer with macOS experience

Posted 15 days ago

📍 Ukraine, Argentina, Chile, Uruguay, Poland

🔍 Software Development

🔧 Requirements

5+ yrs experience with C++11 or newer
3+ yrs experience with Objective-C
Strong proficiency with Boost libraries
Clean code experience
Understanding fundamental design principles behind scalable applications
Unit tests/integration tests experience
Proficient knowledge of GIT
Advanced spoken and written English

💡 Responsibilities

Implement high-quality software security and data protection solutions
Research and suggest the best way to implement business requirements
Identify improvements in existing architecture and legacy code to continuously refine and evolve the product
Enhance software delivery and quality throughout the entire software development cycle
Manage any issues that may arise and drive resolutions throughout the development process
Collaborate with Support engineers to analyze and troubleshoot software problems reported
Work with other team members and technical leads effectively and with minimal supervision

Design PatternsGitObjective-CC++RESTful APIs

Posted 15 days ago

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