AI/ML Engineer

Ravenex Technologies; Mohali, Ludhiana; Hybrid; INR 500,000 - 900,000; Full time

Job summary

Ravenex Technologies is seeking an AI/ML Engineer to build and deploy machine learning systems at the core of our products. You will handle data preparation through model training, evaluation, and production deployment in a production-oriented environment.

The role is hands-on and applied, targeting systems that ship to clients rather than research notebooks. You will work with a small, high-output team, focusing on computer vision pipelines, NLP automation, and AI-driven analytics.

Qualifications

• Bachelor's degree in CS/Data Science/Math or related field.
• 0–3 years of experience in ML, AI research, or data science.
• Strong Python fundamentals; ML framework experience (PyTorch or TensorFlow).
• Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, regularization.
• Familiarity with computer vision or NLP tasks preferred; deployment experience a plus.

Responsibilities

• Work on data preparation, model training, evaluation, and deployment to production.
• Develop and maintain AI/ML pipelines that ship to clients, not just notebooks.
• Collaborate in a small, high-output team to deliver production-ready systems.

Skills

Python fundamentals

ML frameworks (PyTorch or TensorFlow)

ML concepts (supervised/unsupervised)

CV/NLP familiarity

Model deployment (REST API, Docker, or

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field

Job description

Ravenex Technologies is looking for an AI/ML Engineer to build and deploy the machine learning systems at the core of our products. We work on computer vision pipelines, NLP automation, and AI-driven analytics, real deployed systems, not research experiments. You'll be involved from data preparation through model training, evaluation, and production deployment.This is an applied ML role. You'll work with a small, high-output team where your models ship to clients, not just notebooks. If you're someone who follows AI research closely and wants to put it to work in production systems, this is your environment.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 0-3 years of experience in machine learning, AI research, or data science.
• Strong Python fundamentals and experience with at least one ML framework (PyTorch or TensorFlow).
• Understanding of core ML concepts, supervised/unsupervised learning, model evaluation, overfitting, regularization.
• Familiarity with computer vision or NLP tasks is strongly preferred.
• Experience deploying models (REST API, Docker, or cloud-based inference) is a plus.

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