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AI Talent Community - Future Roles

2 months, 2 weeks ago
Pakistan
Mid Level
AI (Artificial Intelligence)
Software Development
C++ Computer Vision Hugging Face Machine Learning OpenCV Python PyTorch TensorFlow
Apply Now
CodeNinja

CodeNinja

CodeNinja Consulting Inc. is a global software development company offering Product Engineering, Bespoke Software Development, Data Analytics, AI, and Cloud services. Our mission is to tap into untapped engineering potential to solve global challenges ...

Internet Software & Services
51-250
Founded 2014
View All Jobs 2

Description

  • Register your interest in the AI Talent Community and submit your resume with preferred role/area.
  • Maintain contact with CodeNinja recruiters and hiring managers and respond to outreach for relevant opportunities.
  • Be proactively considered for future openings and receive early visibility into the company’s AI roadmap and hiring plans.
  • Design and develop AI agents, integrations, and related software systems for Workplace AI initiatives.
  • Build, train, and deploy machine learning models and scalable data pipelines for production use.
  • Implement computer vision and real-world AI systems, including dataset QA and labeling workflows.
  • Lead or contribute to research, publications, and knowledge-transfer activities, and develop AI/STEM curriculum and training pipelines.
  • Deliver client-facing AI solutions, enterprise integrations, and APIs as part of applied intelligence and engineering engagements.

Requirements

  • Generalist Software Engineer: 2–4 years of experience; Specialist Software Engineer: 4–6+ years (Work AI).
  • Generalist CV & Software Engineer: 2–4 years; Specialist CV & Software Engineer: 5+ years (Physical AI).
  • PhD-level research leaders with publications and global collaboration experience for Research & Knowledge Transfer roles; STEM teachers for AI/STEM curriculum pipelines.
  • Data Engineer: 3+ years experience building scalable pipelines; Data Scientist: 2–4 years for model prototyping and insights; Data Ops Specialist: 1–3 years for dataset QA and labeling workflows.
  • Machine Learning Engineer: 3–5 years for model training and deployment; Applied Intelligence Engineer: 5–7 years for client-facing AI delivery; AI Engineer: 3–5 years for enterprise integrations and APIs.
  • Strong technical foundations in Python, C++, or modern compiled languages.
  • Experience with AI frameworks and tools such as PyTorch, TensorFlow, LangChain, Hugging Face, and OpenCV (etc.).
  • Curiosity, a problem-solving mindset, and a mix of academic rigor, industry experience, and applied project work.

Benefits

  • Early visibility into upcoming AI roles and the company’s AI roadmap.
  • Direct connection with recruiters and hiring managers and proactive consideration for future openings.
  • Global opportunities with remote, hybrid, or onsite options depending on the role.
  • Priority placement in future hiring pipelines by joining the talent community (no immediate vacancy required).
  • CodeNinja is an equal opportunity employer that celebrates diversity and is committed to an inclusive environment; females and minorities are strongly encouraged to apply.

Interested in this position?

Apply directly on the company website

Apply Now

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