AI/ML Python Developer

Quantbot; Mohali; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Quantbot in Mohali, Punjab on-site is seeking a Backend/MLOps engineer with 2–5 years of experience to build end-to-end data-to-API pipelines.

You will work on ML models, REST APIs, Docker, AWS, and databases, delivering scalable production solutions with reliable monitoring and continuous deployment.

Qualifications

• 2–5 years of experience in backend/MLOps roles.
• Strong Python and OOP skills required.
• Experience with ML libraries and AWS cloud services.

Responsibilities

• Develop backend services and ML models into APIs.
• Deploy via Docker and AWS, ensure monitoring and reliability.

Skills

Python

OOP

Machine Learning

Deep Learning

Scikit-learn

PyTorch

TensorFlow

Pandas

NumPy

FastAPI

Flask

Django

AWS

EC2

S3

Lambda

RDS

ECR

ECS

CloudWatch

IAM

PostgreSQL

MySQL

MongoDB

Redis

Docker

Git

Linux

CI/CD

REST APIs

MLOps

Tools

PyTorch

TensorFlow

Scikit-learn

Pandas

NumPy

Docker

Git

Linux

FastAPI

Flask

Django

AWS

Job description

Batch: 2020/2021/2022/2023/2024.

Requirements:

• Experience: 2–5 years
• Strong Python and OOP skills
• Knowledge of Machine Learning and Deep Learning
• Experience with Scikit-learn, PyTorch/TensorFlow, Pandas and NumPy
• Experience with FastAPI / Flask / Django
• Knowledge of AWS services including EC2, S3, Lambda, RDS, ECR, ECS, CloudWatch, and IAM
• Experience with PostgreSQL, MySQL, MongoDB or Redis
• Knowledge of Docker, Git, Linux and CI/CD
• Experience with REST APIs and backend development
• Knowledge of MLOps and ML model deployment

Preferred Skills:

• Generative AI, LLMs, and RAG
• AWS SageMaker / Bedrock
• Vector Databases
• NLP / Computer Vision
• Kubernetes / Terraform
• Time-series and real time processing
• Financial/Quantitative applications

Eligibility:

• Experience: 2–5 years
• Interns are not eligible

Additional Details:

• Work Mode: On-site
• Location: Mohali, Punjab
• Ability to take a solution end-to-end: Data → Model → API → Docker → AWS → Database → Monitoring → Production