ML Engineer

Job Summary


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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