SDE 2 - ML

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We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Responsibilities include creating machine learning models and retraining systems. To do this jobsuccessfully, you need exceptional skills in statistics & programming.

Your ultimate goal will be to shape and build efficient self-learning applications.

BS-106
3+ Years
1
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Responsibilities

  1. Prepare and maintain metadata for different data models.
  2. Research and implement appropriate ML algorithms and tools.
  3. Train and optimise ML/DL models.
  4. Deploying models to production.
  5. Extend existing ML libraries and frameworks.
  6. Integrate existing ML services to the system.

Qualification & Skills

Mandatory

  1. Minimum 3 years of work experience in Machine Learning/Deep Learning.
  2. Deep knowledge of maths, probability, statistics, linear algebra, coordinate systems and algorithms.
  3. Understanding of data structures, data modelling and software architecture.
  4. Ability to write robust code in Python.
  5. Hands-on experience with NumPy, Pandas, MatplotLib, Seaborn, OpenCV, Scikit-Learn, NLTK, Spacy libraries.
  6. Familiarity with machine learning frameworks like Keras, TensorFlow and PyTorch.
  7. Hands-on experience with generative AI and Transformer models.
  8. Hands-on experience training a deep learning model, hyper parameter tuning.
  9. Knowledge of Relational and NoSql databases.
  10. Knowledge of model optimisation, TfLite, Onnx and OpenVino.
  11. Outstanding analytical and problem-solving skills.
  12. Familiarity with MLOps and end to end machine learning pipelines.

Good to Have

  1. Knowledge of R programming language.
  2. Hands on with reinforcement learning algorithms.

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