DOCSIS Testing Engineer Job at Openkyber, Georgia

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  • Openkyber
  • Georgia

Job Description

First Round Video Second Round Mandatory In-Person in NJ office

Manager Note: Candidates did not have a lot of app development experience. Submittals seem to be more of devops integrator with a little app dev knowledge. Looking more on dev side vs infrastructure. Someone who has implemented AI modules and very hands-on.

Overview:

An AI Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environments.

Key Responsibilities:
  • AI/ML Engineer
  • Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
  • Automate testing frameworks using AI capabilities, including model validation tests
  • Design blue/green deployment strategies using AI capabilities
  • Automated build, scans and deploy including vulnerability remediation capabilities
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in DevSecOps, Site Reliability Engineering
  • Hands on knowledge of AI tools, Models, practical use case implementation
  • Proficiency in at least one programming language commonly used in AI (Python, Java)
  • Hands-on experience with cloud platforms (AWS, Azure, Google Cloud Platform)
  • Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory)
  • Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space
  • Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape
Skills:
  • LLM (Claude/OpenAI) with focus on reasoning/agentic use cases
  • Agentic AI framework
  • LangChain, LangGraph, CrewAI
  • Context Engineering
  • MCP
  • Vector databases
  • RAG
  • Python language proficiency is must.
  • Deep understanding of cloud engineering as related AI, DevOps, Automation
  • Strong troubleshooting and problem-solving abilities
  • Excellent communication skills to work with both data scientists and operations teams
  • Familiarity with agile development methodologies
  • Knowledge of security best practices for AI systems

Job Tags

Work at office,

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