Back
Broad ML/LLM full-stack requirements and common 3+ years experience make this role highly competitive.
Role requires specialized ML/LLM and MLOps expertise reducing cross-industry transferability.
Explicit 3+ years plus required ML frameworks, LLM and programming skills create moderate shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, deploy, and manage AI/ML models and systems for automation and data insight extraction.
Build and maintain scalable AI pipelines including LLM-based agents, retrieval augmented generation (RAG) systems, and conversational applications.
Integrate AI solutions into software, APIs, and cloud platforms while optimizing model performance and cost in production.
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field.
Minimum 3 years of experience building production software or machine learning systems.
Proficiency in Python, C#, and TypeScript; knowledge of ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Familiarity with large language models, generative AI, scalable system development, API integration, and front-end development.
Experienced in designing and operating scalable AI/ML production systems with emphasis on model lifecycle and MLOps.
Skilled in developing advanced LLM applications including agents, RAG, and semantic search with knowledge of vector databases and embedding pipelines.
Practiced in cloud platform integration, containerization, and distributed computing environments, especially Azure, AWS, or GCP.