AI Systems Developer

17 hours ago

Aligarh, Uttar Pradesh, India beBeeEngineering Full time ₹ 8,00,000 - ₹ 12,00,000
AI Engineering Specialist

We are seeking an experienced AI engineering specialist to join our team. This role will focus on designing and executing machine learning experiments, prototyping end-to-end AI solutions, and formulating hypotheses to evaluate technical approaches.

This is an exciting opportunity for a skilled engineer to contribute to the development of cutting-edge AI technology and collaborate with a highly collaborative team environment.

  • Essential Duties:
  • - Design and execute machine learning experiments to evaluate emerging AI technologies and frameworks.
  • - Prototype and assess end-to-end AI solutions to inform product and platform strategy.
  • - Formulate hypotheses and conduct structured evaluations to compare technical approaches.
  • - Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems.
  • - Contribute to the definition of best practices for experimentation, evaluation, and technical decision-making.
  • - Synthesize and communicate experimental results to guide investment and adoption decisions.
  • - Translate new research ideas and tools into functional, decision-relevant demonstrations.
  • - Operate independently while contributing to a highly collaborative team environment.
  • - Communicate technical findings clearly and concisely to both technical and non-technical audiences.
Requirements

To be successful in this role, you should have the following qualifications:

  • Qualifications:
  • - Bachelor's degree in computer science, data science, information technology, statistics, economics, or a related STEM field.
  • - 3+ years of experience building machine learning-powered applications or tooling.
  • - Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs).
  • - Experience working with LLM orchestration or agent frameworks.
  • - Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • - Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and/or Kubernetes.
  • - Demonstrated ability to independently prototype, test, and iterate on technical ideas.
  • - Familiarity with ML evaluation techniques and structured experimentation workflows.
  • - Proficiency with version control systems, CI/CD practices, and ML observability tools.

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