DevOps Engineer – Machine Learning Focus

at  DecisionLinks

Location: Austin, TXCompany: DecisionLinks
About Us: DarkMath.ai is a cutting-edge AI startup, focused on pioneering identity resolution, audience creation, and anomaly detection using large-scale vectorized data solutions. As an early-stage venture, we are actively building our foundational team at our headquarters in Austin, TX, bringing together top talent to shape the future of AI-powered identity graphs and machine learning-driven data infrastructures.
Backed by an established data intelligence company (DecisionLinks), DarkMath.ai is at the forefront of leveraging large language models (LLMs), scalable vector databases, and advanced AI solutions to revolutionize data science and analytics. This is an exciting opportunity to join a startup in its formative stage, working on high-impact AI innovations in a fast-moving, collaborative environment.
Position Overview: We are seeking an experienced and driven DevOps Engineer to support our Machine Learning Engineer in developing and maintaining robust, scalable systems. The ideal candidate will have hands-on experience with Opened-sourced Vector Databases, Terraform, and Kubernetes, and be passionate about optimizing processes for machine learning and AI-driven solutions.

DESIRED SKILLS AND QUALIFICATIONS:

• Strong proficiency with Kubernetes for container orchestration and management.
• Experience with vector databases, such as Milvus, Weaviate, or equivalent.
• Understanding of Distributed Vector databases infrastructure for scalability
• Proven expertise in managing infrastructure.
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Solid understanding of cloud platforms like AWS, Azure, or GCP.
• Knowledge of Docker and containerization best practices.
• Background in supporting AI/ML model deployment and optimization.
• Experience with scalable data pipelines and processing systems.
• Understanding of GPU acceleration for ML model training and deployment.
• Proficiency in scripting and automation using Python or Bash.
• Experience with Terraform..
  If you are a proactive problem-solver with a passion for building scalable systems and supporting groundbreaking AI/ML solutions, we’d love to hear from you!
  Job Types: Full-time, Contract
  Pay: From $70,000.00 per year

Compensation Package:

• Bonus opportunities

Schedule:

• 8 hour shift
• Monday to Friday
• No weekends

Experience:

• Kubernetes: 1 year (Preferred)
• AWS: 1 year (Preferred)

Location:

• Austin, TX 78702 (Required)

Ability to Commute:

• Austin, TX 78702 (Required)

Work Location: In perso

• Collaborate with Machine Learning Engineers to design and maintain scalable infrastructure for deploying machine learning models and pipelines.
• Manage and optimize large-scale vector databases for identity resolution and audience creation tasks.
• Build, deploy, and maintain Kubernetes clusters to ensure high availability and reliability of services.
• Develop and manage infrastructure as code to streamline deployments and improve efficiency.
• Implement CI/CD pipelines to automate the deployment and testing of machine learning solutions.
• Monitor and troubleshoot system performance issues, ensuring minimal downtime.
• Collaborate with cross-functional teams to support large-scale data processing pipelines and AI/ML workflows.
• Stay updated on the latest DevOps and AI/ML technologies to recommend and implement improvements.