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Salary
≈ $20k – $47k per year (Estimated)
Location
In office (Delhi)
Experience
4+ years exp

First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Enormous Enterprise LLC About the Company Enormous is a global leader in consulting, technology, Management and outsourcing the next-generation solutions and services. We enable our customer to be on the top of the competition and stay ahead of the innovation and great ideas.

Job Overview :

We are looking for an AI/ML Engineer with hands-on experience in developing, training, fine-tuning, evaluating, and optimizing AI/ML models and supporting their integration into applications.

Educational Qualification :

B.Tech/M.Tech in Computer Science, AI, Machine Learning, Data Science, or a related field. Relevant certifications or open-source contributions are an advantage.

Key Responsibilities :

- Develop, train, fine-tune, and optimize Machine Learning models.

- Perform data preparation, feature engineering, experimentation, and model evaluation.

- Develop AI solutions for NLP, Computer Vision, prediction, and other relevant applications.

- Evaluate model accuracy, latency, reliability, and performance.

- Support model deployment and application/API integration.

- Conduct error analysis and document experiments and results.

- Follow data protection and Responsible AI practices.

- Collaborate with engineering and data teams to deliver production-ready AI solutions.

Requirements :

- 4 - 7 years of relevant AI/ML experience.

- Strong Python programming.

- Hands-on experience with PyTorch, TensorFlow, and/or Keras.

- Experience with model training, evaluation, and optimization.

- Knowledge of data preparation, feature engineering, and ML workflows.

- Experience integrating or deploying models into applications is preferred.

Relevant Tools and Technologies :

- Hugging Face Transformers.

- Pandas and NumPy.

- OpenCV and spaCy.

- SQL and/or NoSQL databases.

- Docker, MLflow, and Git.

- Relevant model evaluation metrics and experimentation practices.

Skills

Machine Learning, Artificial Intelligence, Python, PyTorch, Tensorflow, NLP, Computer Vision, Pandas, Numpy, OpenCV

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