Machine Learning Engineer

Role Overview

We are looking for an AI / ML Engineer to help build, train, and deploy machine learning models and AI-powered features that drive real business outcomes. You will work on projects involving predictive analytics, NLP, and generative AI integration — with hands-on exposure to the full ML lifecycle, from data preparation to deployment, supported by the team as you grow into owning projects end to end.

Responsibilities

• Build and train machine learning models for business use cases — classification, regression, and NLP.
• Prepare data for modelling — cleaning, preprocessing, and feature engineering.
• Integrate LLMs (Claude, OpenAI, Gemini) into products and workflows using APIs and prompt engineering.
• Assist in building RAG-based features — embeddings, retrieval, and semantic search.
• Help deploy models and AI features, and monitor how they perform in real use.
• Document your work clearly and stay updated with new AI tools and techniques.
• Build data pipelines for model training — clean, transform, and structure raw data.

Requirements

• 1–2 years of hands-on ML/AI experience — internships, freelance work, and strong personal projects all count.
• Curious, self-learning mindset — AI moves fast and you enjoy keeping up.
• Ability to communicate your work clearly to non-technical teammates.
• A portfolio or GitHub with projects you’ve built — academic or personal projects are welcome.

Skills

• Python
• PyTorch
• scikit-learn
• SQL
• LLM APIs

Benefits

• Competitive compensation as per Ludhiana market standards with performance upside.
• Access to latest AI tools, APIs, compute resources, and learning budget.
• Health insurance
• Leave encashment