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Remote Data Security Engineer Jobs in Kentucky (NOW HIRING)

$101K - $139K/yr

Platform & Product Engineering - LumiMeds Location: Remote / Hybrid Seniority: Mid-Level / Senior ... Compliance & Security: Ensure all interfaces meet HIPAA/SOC2 standards, with a focus on secure data ...

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... Please be aware that applicants may be asked to provide their Social Security Number, if it is not ...

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... Please be aware that applicants may be asked to provide their Social Security Number, if it is not ...

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... Please be aware that applicants may be asked to provide their Social Security Number, if it is not ...

Senior Systems Engineer

Louisville, KY ยท On-site +1

$100K - $137K/yr

The engineer serves as a subject matter expert in mobile technologies and collaborates closely with ... Security Professional (CISSP) * ITIL Foundation * Additional Information Limited Geography Remote ...

Senior Systems Engineer

Louisville, KY ยท On-site +1

$100K - $137K/yr

The engineer serves as a subject matter expert in mobile technologies and collaborates closely with ... Security Professional (CISSP) * ITIL Foundation * Additional Information Limited Geography Remote ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... LI-SS2 LI-REMOTE

Showing results 41-60

Remote Data Security Engineer information

How does a remote data security engineer typically collaborate with cross-functional teams to ensure data protection across different platforms?

As a Remote Data Security Engineer, you will frequently work with software developers, IT administrators, and compliance officers to implement and maintain security protocols. Collaboration often happens via virtual meetings, secure communication channels, and shared documentation tools. You'll be responsible for guiding teams on best practices, conducting security assessments, and assisting in incident response. Effective communication and a proactive approach are key, as you'll need to coordinate across time zones and ensure that security measures are consistently applied throughout the organization.

What is the difference between Remote Data Security Engineer vs Remote Network Security Engineer?

AspectRemote Data Security EngineerRemote Network Security Engineer
CertificationsCompTIA Security+, CISSP, CISACompTIA Security+, CISSP, CCNP Security
Work EnvironmentFocus on data protection, encryption, and database securityFocus on network infrastructure, firewalls, and intrusion detection
Industry UsageUsed across finance, healthcare, tech for data privacyUsed in telecom, enterprise IT, and cloud services for network security

The Remote Data Security Engineer primarily safeguards data through encryption, access controls, and database security measures. In contrast, the Remote Network Security Engineer concentrates on securing network infrastructure, monitoring traffic, and preventing intrusions. Both roles require similar certifications but focus on different security layers, making them distinct yet complementary in cybersecurity teams.

What does a remote data security engineer do?

A Remote Data Security Engineer is responsible for protecting an organization's digital data from unauthorized access, breaches, and other security threats. They design, implement, and maintain security measures such as encryption, firewalls, and intrusion detection systems, all while working remotely. This role involves monitoring systems for vulnerabilities, responding to security incidents, and ensuring compliance with data protection regulations. Collaboration with IT and other departments is common, and staying updated on the latest security trends and threats is essential.

What are the key skills and qualifications needed to thrive as a remote data security engineer, and why are they important?

To excel as a Remote Data Security Engineer, you need a strong background in cybersecurity, network architecture, encryption protocols, and a relevant degree or industry certifications like CISSP or CEH. Familiarity with security information and event management (SIEM) systems, cloud security platforms, and vulnerability assessment tools is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you identify threats and collaborate across remote teams. These competencies are crucial for safeguarding sensitive data, ensuring compliance, and maintaining robust security in distributed digital environments.
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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Owensboro, KY โ€ข Remote

Full-time

Re-posted 16 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.