DevOps Engineer

About Us

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.

Latent AI is a cutting-edge startup at the forefront of artificial intelligence innovation. Our mission is to revolutionize MLOps by developing software designed to optimize and secure neural network runtimes.

We are a dynamic team of AI enthusiasts, and we're looking for a talented DevOps Engineer to join us in shaping the future of AI technology.

Job Description

We're seeking a skilled DevOps Engineer to contribute to the success of Latent AI. As a DevOps Engineer, you will play a pivotal role in optimizing our AI development workflows, ensuring the scalability, efficiency, and reliability of our AI systems.

Responsibilities

• Work closely with AI researchers and developers to design and implement effective CI / CD pipelines tailored for AI model development and deployment.
• Implement and manage infrastructure as code (IaC) to automate the provisioning and scaling of AI infrastructure using tools like Terraform, Ansible, or CloudFormation.
• Deploy and manage AI workloads on cloud platforms such as AWS, Azure, or Google Cloud, optimizing for performance and cost.
• Implement and manage containerization technologies (Docker, Kubernetes) to streamline the deployment of AI models.
• Collaborate with AI and data science teams to ensure the efficient and secure handling of large datasets and model training.
• Implement and maintain AI model monitoring and logging solutions for proactive issue identification and resolution.
• Collaborate on AI model deployment strategies, ensuring smooth transitions from development to production environments.
• Stay abreast of the latest advancements in AI infrastructure, DevOps, and cloud technologies
• Location : Princeton, NJ, or Remote

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a DevOps Engineer with a focus on AI or machine learning projects.
• Proficiency in scripting languages such as Python, Bash, or Ruby.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and AI-related services.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Solid understanding of AI model deployment best practices and challenges.
• Strong knowledge of infrastructure as code (IaC) tools like Terraform or Ansible.
• Excellent problem-solving and communication skills.

Qualifications

• Competitive salary
• Stock options
• Health and dental insurance
• Flexible work hours
• Collaborative and innovative work environment
• Opportunities for professional development and growth

Latent AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, ancestry, age, genetic information, physical or mental disability, marital or protected military or veteran status, or any other consideration made unlawful by federal, state, or local laws.

Note to Recruiters and Placement Agencies : Latent AI does not accept unsolicited agency resumes. Latent AI will not be responsible for any agency fees associated with unsolicited resumes.

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