Machine Learning Engineer/AI Engineer (Infra)
Core
Productionizing advanced data science research by designing and building robust MLOps infrastructure, optimizing models for deployment, and writing production-ready software for model inference.
Role type
Senior Machine Learning Engineer (Infra)
Builds
Scalable infrastructure for model training and deployment, cloud-native APIs, pipelines, and agentic systems
Domain
Data and AI solutions for enterprise clients (retail, manufacturing, banking, energy, etc.)
Deliverable
production ML models | infrastructure
Required skills
Python, C++, Generative AI concepts, LLM APIs, REST APIs, MLOps principles, SDLC
Preferred skills
Cloud-based solutions experience, agentic systems development
Technologies
OpenAI, Hugging Face, git, CI/CD
Responsibilities
Design ML solutions to meet business requirements, develop and maintain scalable infrastructure for model training and deployment, develop cloud-native APIs and pipelines for model inference, build agentic systems from scratch, troubleshoot generative AI models, engage with clients to gather requirements, develop technical documentation
Seniority
Mid-Senior, hands-on IC
