Job Summary

ML Engineer

Years of Experience: 0-2 years

Requirements

- 0-2 years of experience in hands on ML/DL and delivering products with ML/DL capabilities.
- Deep understanding of intricacies of ML Models and the Math behind it.
- Knowledge of any one or more programming languages Python, R, C++, etc.
- Knowledge of ML/DL frameworks like Tensorflow, PyTorch, MXNet, Scikit-Learn and Python frameworks like Pandas, Numpy, Scipy etc.
- Robust fundamental understanding of ML algorithms from classical ML like Linear Regression to modern DL algorithms like Neural Networks and recent advances in the field like Transformers/NF Nets etc.
- Strong work experience in any of ML/AI subset like Computer Vision, NLP, time-series etc.
- Experience in Fintech domain is plus.
- Experience with LLM would be mandatory.




- Familiarity with databases - SQL and/or NoSQL is plus
- Experienced with MLOps and deployment via docker, Kubernetes, KubeFlow or any cloud provider is plus.
- Independent ideator and executor.
- No GitHub or Kaggle clones

Skills

- Python
- Tensorflow
- PyTorch
- Scikit-Learn
- Pandas
- Numpy
- LLM
- SQL
- NoSQL

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 ML Engineer (Ahmedabad)
🏢 Ignosi Systems
📍 Ahmedabad