ML Engineer (LLM, Python) — AI Product Team
Experience : 3–4+ Years
Location : Remote
Employment Type : Full-time
About the Role :
We are looking for a talented Machine Learning Engineer to join our AI Product Team and help design, build, and deploy cutting-edge AI solutions on Oracle Cloud Infrastructure (OCI) . This role offers an exciting opportunity to work at the intersection of Generative AI and traditional machine learning , focusing on LLM-based applications , Retrieval-Augmented Generation (RAG) , and MLOps .
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).