MLOps Engineer

Contentverse by Computhink; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Contentverse by Computhink Bengaluru seeks hands-on professionals in MLOps to drive AI integration projects. You will work on DevOps, RAG architectures for LLMs, and Python-based toolchains, including REST APIs and Bash scripting.

You will containerize applications, implement CI/CD, and leverage cloud platforms (Azure/AWS/GCP) while using AI pipelines tools like MLflow, FastAPI, Airflow, LangChain. Familiarity with vector databases (FAISS, Weaviate, Chroma) is valued.

Qualifications

• Hands-on experience in MLOps or AI integration projects.
• Hands-on experience in DevOps or software engineering.
• Hands-on with RAG architectures for LLMs.
• Hands-on with Python, REST APIs, Bash scripting.

Responsibilities

• Experience with containerization and CI/CD workflows.
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• Knowledge of AI pipeline tools (MLflow, FastAPI, Airflow, LangChain, etc.).
• Experience with at least one vector database (e.g., FAISS, Weaviate, Chroma).
• Understanding of deploying AI services securely and efficiently.
• Experience with Agile and DevOps software development principles/methodologies.

Skills

MLOps

DevOps

RAG architectures for LLMs

Python

REST APIs

Bash scripting

CI/CD workflows

Agile and DevOps principles

Tools

Docker

LangChain

MLflow

FastAPI

Airflow

Weaviate

Chroma

FAISS

Job description

• Hands on Experience in MLOps or AI integration projects.


• Hands -on experience in DevOps or software engineering.


• Hands-on with RAG architectures for LLMs.


• Hands-on with Python, REST APIs, Bash scripting.


• Experience with Docker, containerization, and CI/CD workflows.


• Familiarity with cloud platforms (Azure, AWS, or GCP).


• Knowledge of AI pipeline tools (MLflow, FastAPI, Airflow, LangChain, etc.).


• Experience with at least one vector database (e.g., FAISS, Weaviate, and Chroma).


• Understanding of deploying AI services securely and efficiently.


• Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value.