Empleos de data scientist
- FusemachinesDesde casa
- Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses.
- You should be strong in core data science and applied…
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Ver empleos similares de esta empresaBNP ParibasBogotá, Cundinamarca- Access to state-of-the-art technologies and tools in artificial intelligence and data science.
- Map, analyze, and transform business processes involved in the…
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- Búsqueda de salarios: salarios de Data Scientist en Bogotá, Cundinamarca
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Ver empleos similares de esta empresaCapgeminiBogotá, Cundinamarca- This role bridges tactical execution and long-term strategic planning, requiring a visionary who can work both independently and collaboratively with data…
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- Búsqueda de salarios: salarios de Data Scientist en Bogotá, Cundinamarca
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- McKinsey & CompanyBogotá, Cundinamarca
- Within this group, ACRE is a team of ~30 expert consultants, data scientists, and engineers focused on bringing cutting-edge analytics to our clients.
- Ver todos los Empleos de McKinsey & Company - empleo en Bogotá - Empleos de Data Scientist en Bogotá, Cundinamarca
- Búsqueda de salarios: salarios de Data Scientist - Agriculture & Nature Analytics (Machine Learning/Geospatial) en Bogotá, Cundinamarca
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- Cuesta PartnersBogotá, Cundinamarca
- Communicate findings through data visualization and storytelling.
- Delivering advanced analytics and data-driven solutions using modern technologies.
- Ver todos los Empleos de Cuesta Partners - empleo en Bogotá - Empleos de Data Scientist en Bogotá, Cundinamarca
- Búsqueda de salarios: salarios de Data Scientist | Latam en Bogotá, Cundinamarca
- Cuesta PartnersBogotá, Cundinamarca
- Communicate findings through data visualization and storytelling.
- Delivering advanced analytics and data-driven solutions using modern technologies.
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- Búsqueda de salarios: salarios de Data Scientist | Latam en Bogotá, Cundinamarca
- WPP MediaBogotá, Cundinamarca
- ¿Listo para liderar campañas con data impactantes en la región Andina?
- WPP Media busca Data Manager para unirse a nuestro equipo y liderar la estrategia digital…
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- Opella Healthcare GroupBogotá, Cundinamarca
- The Data Engineer will collaborate across multiple business functions and work closely with data scientists, data architects, and data governance teams to…
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- Búsqueda de salarios: salarios de Data Engineer en Bogotá, Cundinamarca
Senior Data Scientist
Suele responder en 3 díasNielsenIQBogotá, Cundinamarca- You are a disciplined, curious, and self‑starting data scientist who values trusted data, analytical rigor, and clear execution.
- Proficiency in Python and SQL.
- Ver todo: Empleos de NielsenIQ - empleo en Bogotá
- Búsqueda de salarios: salarios de Senior Data Scientist en Bogotá, Cundinamarca
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- Blanc LabsColombia, Huila
- Experience with data analysis and statistical modelling.
- Ensure data quality, integrity, and proper usage across projects.
- Ver todo: Empleos de Blanc Labs - empleo en Colombia, Huila
- Búsqueda de salarios: salarios de Senior Data Scientist
Ver empleos similares de esta empresaInetumBogotá, Cundinamarca- Estamos en búsqueda de un Data Scientist apasionado por los datos, con enfoque analítico y orientación a resultados, que nos ayude a transformar información en…
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- Juan Carlos Carrera Pena Prof. Corp.Desde casa
- Importante:* Para aplicar a esta vacante, debes diligenciar el formulario de postulación.
- Solo serán tenidas en cuenta las personas que completen el formulario…
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Ver empleos similares de esta empresaSpeechifyBogotá, Cundinamarca- Experience with web crawlers, large-scale data processing workflows is a plus.
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Ver empleos similares de esta empresaCapgeminiBogotá, Cundinamarca- Experience with data automation and building lightweight UIs.
- Knowledge of data quality frameworks and validation techniques.
- Where you can make a difference.
- LovelyticsMedellín, Antioquia
- Buscamos Data Scientist en Colombia.
- En Lovelytics sabemos que el verdadero valor de la Inteligencia Artificial no está solo en entrenar un modelo, sino en su…
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- UcloudBogotá, Cundinamarca
- Buscamos talento Freelancer especialista en MLOps para sumarse a diversos proyectos desafiantes y de alto impacto en uCloud.
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- Búsqueda de salarios: salarios de ML Ops Engineer JR en Bogotá, Cundinamarca
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Job Post Details
Senior AI & Machine Learning Security Engineer - job post
Ubicación
Descripción completa del empleo
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.
Here’s what you can expect:
- Competitive base
- Comprehensive benefits and wellness support
- Flexible work model: hybrid, remote, or in-office
- Real growth opportunities and leadership visibility
- Inclusive, respectful culture that blends U.S. innovation with Colombian heart
- A company that listens, invests in you, and celebrates wins together
The Senior AI & Machine Learning Security Engineer is at the forefront of the next frontier in cybersecurity. You will be responsible for ensuring that our Client’s AI/ML initiatives are resilient, ethical, and secure. This is a pioneering role that combines traditional security engineering with the unique challenges of the AI lifecycle.
You will design security guardrails for Large Language Models (LLMs), protect training data integrity, and mitigate specific AI risks like model poisoning and prompt injection. Your mission is to enable the responsible adoption of AI across the enterprise while enhancing our own Cyber Defense operations with AI-driven automation.
What you will do:
AI/ML Security Architecture & Engineering
- Design and implement secure architectures for AI/ML solutions, ensuring model integrity and data protection across enterprise platforms.
- Embed security into the full model lifecycle, including training data ingestion, model deployment, inference, and continuous monitoring.
- Identify and mitigate AI-specific vulnerabilities such as prompt injection, model poisoning, evasion attacks, and data leakage.
AI-Driven Cyber Defense
- Integrate AI-driven detection and automation capabilities into Cyber Defense Operations and SOC environments.
- Develop AI/ML models to improve threat detection accuracy and automate incident response workflows.
- Collaborate with Digital and AI teams to establish secure AI design patterns and responsible AI adoption standards.
Governance & Guardrails
- Define and implement AI security guardrails, technical standards, and control frameworks for enterprise-wide use cases.
- Align AI security controls with emerging regulatory requirements, ethical AI principles, and risk obligations.
- Conduct security assessments on internal and third-party AI/ML models and their underlying infrastructure.
Tools & Technologies:
- AI/ML Frameworks: Familiarity with PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
- LLM Security: Experience with tools like Giskard, Lakera, or OWASP Top 10 for LLMs.
- Cloud AI Services: AWS SageMaker, Azure AI/ML Studio, or Google Vertex AI.
- Security Tooling: Prompt injection filters, model monitoring tools, and adversarial robustness libraries (e.g., CleverHans, ART).
- Container Security: Docker and Kubernetes (K8s) for ML workloads.
What you bring:
- 6–8+ years in Cybersecurity, focused on securing AI/ML workloads or using Data Science for security.
- Technical Depth: Ability to analyze model architectures and data flows to identify security weaknesses.
- Adversarial Mindset: Understanding of how attackers exploit ML models and how to build defensive "guardrails."
- Collaboration Skills: Proven experience working with Data Scientists and AI Engineers to bridge the gap between "speed to market" and "secure by design."
Equal Opportunity Employer:
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.