Machine Learning Engineer

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).