AI Pipeline Engineer

Armis; New York (NY); Remote; USD 184,000 - 250,000; Full time

Job summary

Armis is seeking a committed AI Pipeline Engineer to develop and optimize their AI infrastructure within the Strategic Initiatives team. The ideal candidate will play a critical role in building AI pipelines and ensuring scalability and reliability of AI solutions while collaborating closely with data scientists and engineers.

Benefits

Comprehensive health benefits

Discretionary time off

Paid holidays including monthly 'me' days

Inclusive and diverse workplace

Qualifications

• Proven experience in building AI/ML pipelines.
• Strong understanding of data processing and machine learning concepts.
• Familiarity with cloud platforms and containerization.

Responsibilities

• Design and maintain robust AI pipelines for data processing.
• Collaborate with data scientists to implement AI solutions.
• Optimize existing AI infrastructure.

Skills

Python

AI/ML Pipeline Management

Cloud Platforms

Containerization Technologies

Data Processing

Education

Bachelor's or Master's in Computer Science, Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

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Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization's cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.

Armis is a privately held company headquartered in California.

AI Pipeline Engineer - REMOTE

Strategic Initiatives Team

Armis is seeking a talented and motivated AI Pipeline Engineer to join our Strategic Initiatives team. Reporting to the Sr. Director of Engineering, this role will be instrumental in developing and optimizing our AI infrastructure.

Responsibilities:

• Design, build, and maintain robust AI pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and engineers to implement cutting-edge AI solutions.
• Optimize existing AI infrastructure for performance, scalability, and reliability.
• Troubleshoot and resolve issues in the AI pipeline environment.
• Document and maintain best practices for AI pipeline development and deployment
• Develop and implement Minimum Viable Product (MVP) code for AI initiatives.
• Collaborate with other engineers to transition MVP code to production-ready systems.
  
  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• Proven experience in building and managing AI/ML pipelines.
• Proficiency in Python and other relevant programming languages.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Strong understanding of data processing and machine learning concepts.
  
  

Salary range guidance for this position is: $184,000- $250,000

Bonus and Pre-IPO Equity

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.

Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.

Please click here to review our privacy practices.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer and Network Security

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