who can move quickly between research, prototyping, and production. You'll solve real business problems with ML and AI -- working on NLP, computer vision, analytics, and automation -- and help integrate models into product workflows. This role suits someone curious, product-minded, and comfortable across the full ML lifecycle.
Key responsibilities
Design, prototype and deploy ML/AI solutions end-to-end (data ? model ? product).
Work with structured and unstructured data (text, images, audio, tabular).
Build and evaluate models (classification, regression, retrieval, generation).
Create repeatable data pipelines and support model monitoring / retraining.
Collaborate with product, engineering and design to ship features.
Improve model efficiency (latency, memory) for production use.
Write clear documentation, explain model decisions, and address bias/ethical concerns.
Stay current with AI/ML tools and propose relevant improvements.
Required (must-have)
Strong Python skills; experience with libraries such as PyTorch/TensorFlow, scikit-learn, Hugging Face.
Solid understanding of ML fundamentals: data preprocessing, feature engineering, model evaluation.
Experience with NLP or computer vision projects (research or product).
Familiarity with REST APIs and basic deployment concepts (Docker, CI/CD).
Good problem-solving, communication, and collaboration skills.
Good-to-have
Experience with large language models (LLMs) and prompt engineering.
Exposure to cloud platforms (AWS/GCP/Azure) and MLOps tools.
Production experience with monitoring, logging, A/B testing for models.
Knowledge of model interpretability, fairness, or responsible AI practices.
Contributions to open-source projects or personal AI portfolio.
Job Type: Full-time
Pay: ₹25,000.00 - ₹30,000.00 per month
Work Location: In person
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