IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram
Core
Designing and implementing enterprise-grade ML/LLM architectures, fine-tuning models, and building automated pipelines for client transformation in emerging technologies.
Role type
Senior IC ML Ops/Data Ops Engineer
Builds
Production ML/LLM models, automated training pipelines, and scalable deployment infra on Azure
Domain
Enterprise AI/ML, Cloud Infrastructure, Emerging Technologies
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LangChain, Azure Machine Learning, Azure Synapse Analytics, Databricks, Kubernetes, Jenkins, Git, Shell Scripting, RAG implementation, Model fine-tuning
Preferred skills
AWS DevOps services, Docker, Jupyter Studio, Google Analytics, BigQuery, Looker Studio, CI/CD automation
Technologies
Azure ML Studio, Azure Cognitive Services, K8s, Linux Servers, PySpark, Transformers
Responsibilities
Create enterprise-grade architectures for on-premises ML/LLM deployments; Fine-tune LLM models and implement RAGs; Set up automated ML pipelines on Azure ML Studio with CI/CD; Write shell scripts for monitoring LLM output efficiency and resource estimation; Collaborate with frontend teams on image optimizations for web rendering; Implement QA checks for LLM-generated content.
Seniority
Senior, hands-on IC