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Machine Learning + DevOps Engineer - Bangalore Location | Aziro

Machine Learning + DevOps Engineer - Bangalore Location | Aziro

Aziro

5 - 10 years

15 - 27 Lacs

bengaluru

Posted:7 hours ago| Platform:

Apply

Skills Required

langchain llm machine learning devops python github ai framework artificial intelligence fast api deep learning pytorch docker langfuse aiml aws tensorflow

Work Mode

Hybrid

Job Type

Full Time

Job Description

MLOps Engineer AI/ML Ops | Bangalore

DevOps, LLM frameworks, vector databases, and model deployment

Role:

Skills:

Key Responsibilities

Build and manage AI/ML infrastructure for model training, deployment, and monitoring.
Develop CI/CD pipelines using GitHub Actions (or similar) for automated integration and model deployment.
Integrate and manage
LangFuse
for LLM prompt tracing, evaluation, and observability.
Implement
LangChain
pipelines for building LLM-powered applications.
Deploy and serve ML models using
PyTorch/TensorFlow
in production environments.
Build
FastAPI
-based REST APIs for inference and service integration.
Design and maintain Vector Databases (Pinecone, Weaviate, FAISS, Milvus) for RAG pipelines.
Collaborate with engineering and data teams to manage the complete ML lifecycle.
Monitor and optimize model performance, resource utilization, and latency.
Ensure scalability and reliability through DevOps & MLOps best practices.

Required Technical Skills

DevOps & MLOps Tools

Docker, GitHub, GitHub Actions, Jenkins, CI/CD
Model deployment automation

AI/ML Frameworks

PyTorch, TensorFlow
Hugging Face Transformers (optional)

LLM Ecosystem

LangFuse, LangChain
OpenAI API / LLM integrations

Databases

Vector DBs: Pinecone, Weaviate, FAISS, Milvus

API Development

FastAPI, REST architecture

Monitoring & Logging

Prometheus, Grafana, ELK Stack (preferred)

Cloud

AWS / Azure / GCP

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