Machine Learning Engineer

ML Engineer (LLM, Python) — AI Product Team

Experience:

Location:

Employment Type:

About the Role:

Machine Learning Engineer

Key Responsibilities:

• Develop, deploy, and manage scalable ML infrastructure and models on

  OCI

  .
• Design and implement

  LLM-based solutions

  , emphasizing

  RAG architectures

  .
• Build, containerize, and deploy backend services (REST APIs using

  FastAPI

  or

  Flask

  ) on OCI (e.g., OKE, OCI Functions).
• Integrate

  conventional ML models

  (classification, regression, time-series) alongside LLMs in unified platforms.
• Manage the

  end-to-end MLOps lifecycle

  — from data preprocessing to model deployment and monitoring.

Required Skills:

• Proven experience as a

  Machine Learning Engineer

  .
• Hands-on experience with

  Cloud Services

  (OCI, AWS, GCP, or Azure).
• Strong programming skills in

  Python

  with ML frameworks like

  TensorFlow, PyTorch, Scikit-learn

  .
• Practical experience building

  LLM applications

  and working with

  RAG pipelines

  and

  vector databases

  .
• Experience developing and deploying

  backend APIs

  for ML model serving.

Nice to Have:

• Hands-on experience with

  Oracle Cloud Infrastructure (OCI)

  services.

Education:

• Bachelor’s degree in

  Computer Science, AI, Engineering

  , or a related field (or equivalent experience).