We’re Hiring | Senior MLOps Engineer | Remote
Are you an experienced MLOps Engineer passionate about building and deploying scalable Machine Learning and GenAI solutions?
We are looking for a highly skilled Senior MLOps Engineer to take ownership of the complete ML lifecycle—from model development and deployment to monitoring, automation, and production-scale optimization.
Role: Senior MLOps Engineer
Location: Remote
Experience: 7.5+ Years
Salary: Up to ₹1 Lakh per Month
Mandatory Skills
7.5+ years of experience in Python & Machine Learning
Strong hands-on experience with MLOps & ML Pipelines
CI/CD & DevOps
Model Drift & Data Drift Monitoring
Production ML Model Deployment
Generative AI, LLMs & Embedding Models
LangChain / LlamaIndex
Vector Databases & RAG Workflows
Agentic AI Workflows
AWS SageMaker / Apache Airflow or similar tools
Docker & Kubernetes
Cloud Platforms: AWS / Azure / GCP
TensorFlow / PyTorch
FastAPI / Flask / Streamlit
Key Responsibilities
Build and manage end-to-end MLOps and CI/CD pipelines.
Deploy ML and GenAI models for real-time, streaming, and batch workloads.
Monitor model drift, data drift, accuracy, and overall model performance.
Evaluate and optimize LLMs and embedding models for different business use cases.
Build scalable RAG, Vector Database, and Agentic AI workflows.
Deploy cloud-native ML workloads using Docker and Kubernetes.
Provide technical leadership and mentor junior engineers.
Good to Have
AWS Machine Learning Specialty Certification or similar Cloud/ML certifications.
Interested candidates can share their updated resume.
#Hiring #MLOps #MLOpsEngineer #MachineLearning #GenerativeAI #GenAI #LLM #RAG #LangChain #LlamaIndex #AWS #SageMaker #Kubernetes #Docker #Python #RemoteJobs #TechHiring #AIJobs
send cv to 9515230158
Pay: Up to ₹100,000.00 per month
Work Location: Remote
