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ML / AI Developer
Foresiet
posted 4mon ago
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Job Description
- We are seeking a highly skilled and motivated Machine Learning/Artificial Intelligence (ML/AI) Engineer with a focus on cybersecurity
- The ideal candidate will leverage ML/AI technologies to enhance our cybersecurity posture, identifying and mitigating threats through advanced analytics and automated solutions
- This role involves collaborating with cross-functional teams to develop, implement, and maintain innovative security solutions that protect our digital assets and ensure the integrity of our systems
Responsibilities:
- Data Analysis: Analyze large datasets to identify patterns, trends, and anomalies that could indicate potential security breaches or vulnerabilities.
- Automated Response Systems: Design and deploy automated systems for threat response and remediation, reducing the time and effort required for manual intervention.
- Security Solution Development: Collaborate with cybersecurity teams to create innovative solutions for enhancing system security, such as predictive analytics, behavior analysis, and automated defense mechanisms.
- Research and Development: Stay current with the latest developments in ML/AI and cybersecurity, conducting research to integrate new techniques and methodologies into our security strategies.
- Collaboration and Communication: Work closely with IT, data science, and cybersecurity teams to ensure alignment of goals and effective implementation of security measures.
- Compliance and Standards: Ensure that all ML/AI-driven security solutions comply with relevant regulations, standards, and best practices in cybersecurity.
Qualifications:
- Educational Background: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Cybersecurity, or a related field.
- Experience: Proven experience (3+ years) in applying ML/AI techniques to cybersecurity challenges, including threat detection, malware analysis, and network security.
Technical Skills:
- Proficiency in programming languages such as Python.
- Strong understanding of ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with cybersecurity tools and technologies (e.g., SIEM, IDS/IPS, firewalls).
- Experience with big data platforms and tools (e.g., Spark, Elasticsearch).
- Knowledge of statistical analysis and data visualization techniques.
- Analytical Skills: Strong problem-solving abilities with a focus on data-driven decision-making and the ability to analyze complex datasets.
- Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Certifications (preferred): Certifications such as data science, ML/AI.
- Soft Skills: Strong teamwork and collaboration skills, a proactive attitude, and the ability to adapt to a fast-paced and evolving cybersecurity landscape.
Employment Type: Full Time, Permanent
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