ML Engineer

Ignosi Systems; Ahmedabad District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Ignosi Systems in India seeks an ML Engineer with 0-2 years of hands-on experience in ML/DL to deliver product-ready ML capabilities. The role focuses on understanding ML models, their mathematical foundations, and practical deployment using common tools and cloud platforms.

The ideal candidate should be proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and familiar with data libraries (Pandas, NumPy).

Qualifications

• 0-2 years of hands-on ML/DL experience delivering products with ML/DL capabilities.
• Strong understanding of ML models and the math behind them.
• Familiarity with Python, R, C++ or similar programming languages.
• Experience with ML/DL frameworks like TensorFlow, PyTorch, Scikit-Learn and Python data libs such as Pandas and NumPy.
• Solid grasp of ML algorithms from classical to modern DL including Transformers and NFNets.
• Experience in ML/AI domains like CV, NLP, or time-series; fintech exposure is a plus.
• Experience with LLMs is mandatory.

Skills

Python

Tensorflow

PyTorch

Scikit-Learn

Pandas

Numpy

LLM

SQL

NoSQL

Job description

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.
• Strong 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.