Ignosi Systems
ML Engineer
- Compensation
- Not disclosed
- Location
- Ahmedabad
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 0+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
Full 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
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